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Enterprise Voice Simulation (EVS) för mobila enheter i BYOD-miljö

Enterprise Voice Simulation (EVS) for mobile devices in

BYOD-Envirnoment

Evelina Forsberg

Vt-2014

EL1424

Handledare: Ville Jalkanen

(University Diploma) Programme in Computer Networks and Communication Technology, 15 credits

1

ACKNOWLEDGMENT

With heartfelt gratitude, I would like to thank my supervisor Håkan

Gustafsson (drift-consultant), and my tutor Anders Nilsson (wireless expert

consultant) from “IT-support and System Development” (ITS) at Umeå

University. They gave me a propitious project issue to work for them in

BYOD environment and identifying foundation. Without them my work

would not have been possible to complete. Their knowledge about wireless

technology motivated me to complete the project with initiative and

willingness of morality.

I would also thank Arne Vedefors, telecommunication chief at IT-

department of Umeå University, to let me be involved in this project.

I would also thank Jonas Kröger, drift-department chief at IT-support and

System Development. I will remain immensely grateful to him for giving me

the opportunity to work on this project in ITS facility.

I am tremendous grateful to everyone who pushed me to perform the results

possible for ITS to find foundation of recommended smartphones. Friends

and collegues with great work of love.

2

ABSTRAKT

Denna rapport introducerar Umeå universitets bakgrund till införandet av Lync

Server 2013 som etablerades stabilt år 2014. Det trådlösa nätverket vid Umeå

universitet trafikeras av studenter och anställda med mobila enheter som

smartphones och laptops. Vid användandet av mobila enheter stiger

flödesströmningen I det trådlösa nätverket med olika typer av trafiker. I denna

rapport omfattas närmare ”Voice UDP” och ”Lync Enterprise Voice” med fokus på

trängselkontroller vid överföringar av RTP-trafik mellan mobila klienter och 802.11

för att identifiera kvalitén i Lync-samtal, ”VoIP over WLAN”. Metoden baserades

på referenser med MOS-skala 1 till 5 i syfte att jämföra vilka mobila enheter som

bör kvalificeras till bästa uppnådda QoE. Resultatet av de åtta framtagna mobila

enheterna framvisade att Samsung Galaxy s2 toppade totala benchmark för minst

tappade och flest passerade paket. iPhone 5 resulterade den sämsta mobila enheten

för RTP-trafik med mest antal förlorade paket och lägst antal passerande paket.

Benchmark:

Benchmark värderas med totala summeringen av procent mätningsreferenser, Voice

MOS, packet loss, max consecutive packet loss, jitter, peak jitter samt Round-Trip

Delay både i upplänk och nedlänk.

This report introduces the Umeå University background to the introduction of Lync

Server 2013 stable established in 2014. The wireless network at Umeå University

used by students and employees with mobile devices such as smartphones and

laptops. The throughput into the wireless network is affected by different types of

traffics from various devices in whole network infrastructure. This report covered

closer glance at "Voice UDP" and "Lync Enterprise Voice" with a focus on

congestion control for transfers of RTP traffic between mobile clients and 802.11 to

identify the quality of a Lync call, "VoIP over WLAN”. The method is based on

references with MOS scale of 1 to 5 in order to compare which mobile device

should qualify for best achieved Quality of Experience. The results of the eight

selected mobile devices showed that the Samsung Galaxy s2 topped the overall

benchmark for minimum dropped and most passed packets. The iPhone 5 resulted in

the worst mobile device for RTP traffic with the most amount of lost packets and the

lowest amount of passing packets.

Benchmark:

Benchmark measured by the total summation of percent and pmeasurement

references, Voice MOS, packet loss, maximum Consecutive packet loss, jitter, peak

jitter, and Round-Trip Delay in both uplink and downlink.

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ACKNOWLEDGMENT .......................................................................................... 1

ABBREVIATIONS ................................................................................................... 5

1 INTRODUCTION ........................................................................................... 1

2 BACKGROUND .............................................................................................. 2

2.1 LYNC SERVER 2013 ................................................................................... 2 2.2 LYNC SERVER 2013 AND IP PBX ............................................................... 3 2.3 LYNC AT UMEÅ UNIVERSITY ..................................................................... 3

2.3.1 Migration of Lync ................................................................................. 3 2.3.2 Consequence Effects ............................................................................. 4 2.3.3 Lync issues ............................................................................................ 4 2.3.4 Lync Background at Umeå University .................................................. 5

2.4 QUESTION ISSUES ....................................................................................... 5

3 MANAGAMENT AND FRAME EXCHANGES .......................................... 6

3.1 LYNC ARCHITECTURE ................................................................................ 6 3.2 MEDIUM CONTENTION IN 802.11 ............................................................... 9

3.2.1 Interframe Spaces (IFS) types ............................................................. 10 3.2.2 Call Admission Control with QoS ....................................................... 10 3.2.3 Congestion Control in merging transmissions .................................... 12 3.2.4 Quality of Experience with MOS-feedback ......................................... 13

4 METHOD ....................................................................................................... 14

4.1 SLA APPLICATION ................................................................................... 14 4.1.1 Service Level Agreement (SLA) on Laptop ......................................... 15 4.1.2 Service Level Agreement (SLA) on Smartphone ................................. 15

4.2 SLA MEASUREMENT ................................................................................ 16 4.2.1 Practical Application .......................................................................... 16 4.2.2 Theoretical Application ...................................................................... 17 4.2.3 Problem issues .................................................................................... 17 4.2.4 Elaborate issues .................................................................................. 17

5 RESULTS ....................................................................................................... 18

5.1 VOICE MOS ............................................................................................. 18 5.2 HEATWAVE COMPARISON SAMHÄLLSVETARHUSET ................................ 25 5.3 SUMMATION ............................................................................................ 26

6 CONCLUSION .............................................................................................. 27

7 REFERENSERS ............................................................................................ 29

APPENDIX A............................................................................................................ 1

APPENDIX B ............................................................................................................ 2

CLIENT REPORT ...................................................................................................... 2 Samsung Galaxy S2 ........................................................................................... 2 Samsung Galaxy s4 ............................................................................................ 8 Samsung Galaxy s4 Active ............................................................................... 14 Samsung Galaxy s5 .......................................................................................... 20 iPhone 5 ........................................................................................................... 26 iPad Air nr1 ..................................................................................................... 32 iPad Air nr2 ..................................................................................................... 39 HP EliteBook 2570p ........................................................................................ 46

RESULTS FROM SAMHÄLLSVETARHUSET (FULL TABLE) ......................................... 2 Voice MOS ......................................................................................................... 2

4

Upstream voice MOS ......................................................................................... 3 Downstream Voice MOS .................................................................................... 4 Lync Aggregate .................................................................................................. 5 Upstream Lync Enterprise Voice Packet Loss ................................................... 6 Upstream Lync Enterprise Voice Max Consecutive Packet Loss....................... 7 Upstream Lync Enterprise Voice Jitter .............................................................. 8 Upstream Lync Enterprise Voice Peak Jitter ..................................................... 9 Downstream Lync Enterprise Voice Packet Loss ............................................ 10 Downstream Lync Enterprise Voice Max Consecutive Packet Loss ................ 11 Downstream Lync Enterprise Voice Jitter ....................................................... 12 Downstream Lync Enterprise Voice Peak Jitter .............................................. 13 Lync Enterprise Voice Round-Trip Delay ........................................................ 15

5

Abbreviations

Abrv. Glossary

AIMD Additive Increase Multiplicative Decrease BYOD Bring Your Own Device CAC Call Admission Control CBWFQ Class Based Weighted Fair Que CDP Cisco Discovery Protocol COS Class of Service CTS Cisco TrustSec DSCP Differentiated Service Code Point LBM Locations Bandwidth Manager LLQ Low Latency Queing MLS Multi-layer switching MQC Modular QoS CLI MSI Medianet Flow Metadata PBX Private Branch Exchange POMDP Partially Observable Markow Decision Process PQ Priority Queing PQ Priority Quality QoE Quality of Experience QoS Quality of Service QPM QoS Policy Manager RTP Real Time Protocol RTT Round-Trip-Time VoFi Voice over WiFi WRED Weighted Random Early Detection

1

1 INTRODUCTION

This report introduces the new virtualized environment integration with

Microsoft Software Lync Server 2013 in a BYOD environment focus on

congestion failures in ”Voice over WLAN” - communication between

participants in collaborative projects, activities, institute, and sections

at Umeå University. Background intentions with this report validate ;

reconnoiter “VoIP over WiFi” differences between the various selected

mobile devices such as smartphones.

Organizations within the national and international, small and large

industries/companies communicate daily in internal and external working facilities

among customers and employees with perspicuity successfully interact the market

and communities. “Give and take”-mechanism is maintained by optimizing their

peculiar and the other companies works. Telephone systems in digital

communication infrastructure esteem cordially cogently in organizations

information exchange, where information is conveyed in speech, video, writing in

IM and email, as well as various social media etc. This fluctuating conspiracy of

various communication tools (phone calls, video conferencing and IM etc) are

assembled into a single system where companies in project and/or meetings will

produce and organize resource exchange with the end users in an integration

environment. An example of an integrated communication system, generalizes

commonality between several involved organizations and the participating entities

within a project. promote efficiency and autonomic production environment in

distance work.

The Lync users complaints of delays and bad call experience (low QoE) while

trying to establish a Lync phone call in Umeå University wireless network,

discovers that the wireless network’s conversations priorities in VoWLAN (Voice

over WLAN) should be examined with resources immediately. Deployment of

integration tool of Lync Server 2013 has been applied as the fundamental and the

only communication infrastructure system since January 2014 at Umeå University.

The factors behind the failed calls (media transmission) creates a significant,

complex and critical situation for Lync users’ cases to establish a high quality phone

call connection to the end user, ie. Phone call connection should be maintained in

symmetry among Lync clients. By processing detection among Wi-Fi functionality

and the clients’ voice traffic, should predict some aspects that can appear under

plausible hypothesis.

This project includes analysis of Real-time (RTP) traffic with focus on voice in

wireless network 802.11 to identify jitter – congestion between mobile devices and

802.11, and precise whether Lync interacts with the PSTN accomplish the following

codec G.711 simulations. The following hypothesis presents data of what properties

and methods generate the most optimal solution in the wireless network among

802.11 and mobile devices. In fact that 802.11 can cause upstanding jitter and

congestion which coincides in the “Lync Enterprise Voice (DSCP 42)” and “voice

UDP (DSCP 56)”.

The questions are based on the evaluation and formulation of assumptions to

upstanding jitter despite limitations in mobile devices such smartphones in Wi-Fi

interface. Analysis of measured data tables are presented in the results (detailed

tables in appendix C) whether RTP-simulation with medium contention and

congestion are not measured but a factor in the showed results. Accordingly

explanations within QoS factors in medium contention and mobile devices such

2

smartphones with focus on “Voice over WLAN” in 802.11 network is defined

partially. In this work, the report of traffic measurements demonstrates the mobile

devices such smartphones that are suitable in voice and real-time traffic (RTP) with

jitter in the background. Evidently emerges inevitably much jitter, referenced to the

SLA set by simulation measurements in the wireless network 802.11 with selected

smartphones linked to the simulation program for a profitable result.

The aim of this study was to investigate which mobile devices can pass through

the "SLA-referencing target" with minimal jitter. The purpose of this study was also

to show which mobile devices failed through the "SLA-refencing target" with much

jitter. The reason of the measurments is based on the Lync-call quality variation

differences from device to device and the Lync user. The Lync user complaints

about low quality (low QoE). Basically the jitter-problem introduces many

difficulties to establish a Lync-call with good quality. Voice jitter with priority

DSCP 42 and 56 will be examined and explained for each device into this report.

2 BACKGROUND

Summary: Migration of Lync at Umeå University rep laces IP PBX.

Complications voice is focused on “jitter and congestion” in the

wireless network. Lync users’ experience the advantages and

disadvantages with Lync. Interviews with experts tell positively about

the challenge with Lync expansion.

2.1 Lync Server 2013

The introduction of Lync Server 2013 has become a actuate factor in companies and

businesses that want to replace the traditional IP PBX with an efficient and

affordable communication tool server for desktop and mobile devices such as

computers and smartphones. The need to communicate between employees and

those involved in independent environments provide flexible remote work in

virtualized environment integration. Lync Server 2013 links related working

correlation within the organization's communications infrastructure projects and

conferences.

Lync 2013 by Microsoft provides a set of functions to the company and its

employees to give one another a newly developed communication atmosphere. The

communication atmosphere has full of proven innovations by facilitating efficiency

in the presence works through virtualized and revitalizing properties for the

exchange of information or/and resources. The fundamentals with Lync are that

users will be able to attend and communicate in real time on the mobile/desktop

devices available everywhere. [3] Utility functions are distributed from one gear

pool which means that clients can share the screen and document sharing, video

conferencing, email, Skype, phone, mobile phone calls via PSTN or WLAN, and

payable at a fixed price or through a subscription. Integrated Skype is used by

researchers. Office Tools and its interface from Microsoft are usually familiar to PC

users. By naming Lync with these integrated functions have received notice "office

in your pocket". [2]

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2.2 Lync Server 2013 and IP PBX

Lync Server 2013 runs a number of additional features than just P2P

communication. Phone calls, email, IM and video functions from server obtains and

provides partial functions as well as the IP-PBX handles. Lync Server 2013 includes

new routings functions and also provides opportunities to connect many different

telephony systems between the IP PBX and the PSTN. [5] The summation of

properties where Lync neutralizes methodologies for implementing decisions

resulting the new generation communication. Either maintains Lync existing PBX or

other options to integrate and share Lync responsible units in the existing system.

The option to completely switch from the IP PBX to Lync is safe enough when the

system is stable. [6]

2.3 Lync at Umeå University

According presenting evidence by Arne Vedefors, telecommunications manager at

IT-department at Umeå University [2] he explains that Lync can provide good

opportunities and new challenges in the integrated telephone communication.

Integration in Lyncs telephone connects even telephony switching services, PSTN,

Wi-Fi and internet to a common node. Cost issue referred to [1], the Lync call will

automatically be out of cost for particular device otherwise cheaper via 802.11 for

the company than directly against the traditional phone company's public switched

telephone network (PSTN). This confronts even Vedefors, travels and local

conversations shall reduce the cost of time and money expenses with more meetings

with use of mobile devices, and interactive video calls.

Erik King, Product Manager for Microsoft Lync, find that investment in

expensive new meeting rooms for communal gathering at "video and telepresence'

becoming costly and time deprivation. By introducing Lync individual participants

can join the meeting with the cell phone or PC connected to the video call with all

other involved participants for the meeting, even though all are at different locations.

Presentation and screen-, document sharing is to distribute effective work

production in conjunction with a video meeting. This will attract new corporate

clients to spend more on video. A video meeting in the current situation goes

phlegmatic among business where only 15% of those utilizing video conferencing

and initiative should be expanded. Implementing Lync can be introduced at different

scales depending on the company size of termination in the networking system. [12]

Inevitable complications in subsequent implementation of the Communicator is in

due to underlying problems in Quality of Service (QoS) of mobile clients which can

cause delay, delay variation (jitter), wrongly promised transmission or transmission

errors. [7]

2.3.1 Migration of Lync

Lync migration at Umeå University was facing migration strategies regarding how

Lync will substitute the old PBX. The first phase were “Lync migration tools and

telephony implementation” in the application, onto the second phase where the

"mobile extension for pricing and marketing" was established. Third phase builds

out “Lync migration of telephony”. Fourth phase leads to “migration to Lync mobile

phones”. When these four phases are satisfied removes the legacy PBX. This has

4

resulted in new effects. Before the migration of Lync was fixed telephony 60% and

mobile use 5% and Lync 3 % and finally SIP 5%. The end result after migration of

these phases resulted in 60 % mobile usage, with 20 % Lync and SIP 10% and 0%

of fixed telephony. After 4-6 months to mid- January 2014 extinguished the old

telephone exchange down to be replaced with Lync Server 2013. A new successful

call server technology, in spite of this complex technology is implemented at ITS in

significant challenges to operate and maintain the Lync Server.

2.3.2 Consequence Effects

Just over half a year later complaints, despair, confusion and uncertainty resulted

from a number of Lync users. Experience the effects of Lync introduction at Umeå

University is different from person to person. Some say it rings all over the place

which for example means that all smartphones, computers with Lync signal

simultaneously for an incoming call. Some have problems shutting down the camera

to avoid being visible in a video call, or the opposite. Users who previously used the

fax or/and modem are despised and sets questions how this will work in the

future.Ultimatum with new technical questions must be answered to users with

Lync. Which in this project concentrates and focuses on Lync users' complaints

"Calls are broken and the sound disappears." Even positive effects of the users like

to talk on the phone and sharing information with the integration tools easily. [2]

Conflicts in devices with non-compatible platform versions of Lync affect the

system. Lync applications in smartphones can be replaced partially with mobile

extension on technical problems arising in wireless network. Lync Trio is introduced

as new updates for channels.

2.3.3 Lync issues

Lync call may be perceived differently depending on the position in buildings with

mobile clients. After sporadic interviews with Lync users at the business school and

the "Department of Social and Economic Geography" feel certain that Lync works

great and others think Lync is a real nuisance problem for call connections. Some

Lync users think that the call setup delay. One of the staff at the School is

experiencing Lync-call identical to a Skype call. This provides penalties of user

experience on a normal call setup failure in poor condition in Wi-Fi. Jitter is a fact

that occurs in a Lync call. In a conversation with jitter become the votes in the

phone call delayed a few seconds depending on the position relative to the 802.11

capabilities. [2]

Interview with Anders Nilsson - Wireless Network Expert:

"We're probably the first in Sweden to implement Lync and BYOD in a

wireless environment, at least in this big scale. There are those in the

industry who think it's a bit of "mission impossible", but I see it as an exciting

challenge, says Anders Nilsson, network consultant at Umeå University's ITS

department for IT support and systems development. As head of the large

wireless network on campus, he has right now an extra tough task:

- Yes, it is difficult to build a road, the car will start. Ultimately, it is up to the

WiFi client to behave correctly and where there are very much left to be

desired [...] there is no who beats Youtube. It would surprise me if Lync will

account for more than ten percent of the traffic. We'll just make sure to have

5

the capacity to prioritize it, so there will be no problems in that part.” [11]

The probabilities of potential voice (DSCP 42-56) jitter emerging in 802.11 and

mobile devices often occur at dislocation between the room and the walls and the

movement to high traffic access points (AP). The problem of jitter in the current

situation is avoiding offense referred to the behavior of smartphones Wi-Fi

mechanism components. Wi-Fi capability in laptops propagates 10 dB stronger than

smartphones. The reason lays in scalability of smartphones Wi-Fi technology

negotiates between components and capabilities towards the 802.11 interface.

Endeavor to design shuffling structure in wireless network is relatively impossible.

Apart from smartphones flawed capacity in Wi-Fi components are also treated by

other coincidence inside a tunnel of centralized collision constraint 802.11. Wireless

network dedicates Medium Contention effect in half- duplex form, controlled by

delegating queue priorities ie, various methods of medium contention. 802.11

handles queuing traffic for priority DSCP or COS mechanisms, leading priority

gives high quality but the main problem are defined by medium contention in half

duplex. BYOD and Lync environment with wireless network communication

applied an atmospheric office environment independent of room and building.

Accordingly it supports the concept solely to the practical and comfortable

conditions of human demand in the habit office environments.

2.3.4 Lync Background at Umeå University

Umeå University previously expressed a pilot test with Lync 2010 in mid-january

2012 with highly requirements on consultants’ expertise area. The number of users

for the pilot test was limited to 500 users in the ITS (IT-support and system

development), the administration and the department of psychology including a

number of individual users, which in the end became 700 users in total. The server

environment was operated in a complex environment with two parallel switches,

unlike the heterogeneous computing environment with support for various OS. [2]

2.4 Question issues

The purpose of this mission shall result which mobile devices, primarily

smartphones - whether entities treat voice traffic with priority value DSCP 42 and

56 with codec G.711 for PSTN traffic. Individual mobile should meet SLA require

that the mobile units shall be approved for future recommendations. The result

describes the mobile devices manage various traffics and benchmarks, suitable for

Lync calls over Wi-Fi to the PSTN without exaggerate delays. Further analyzes of

This project includes analysis of RTP traffic with a focus on voice- in wireless

802.11 network for identifying jitter - congestion between smartphones and 802.11,

and precise whether Lync interacts with the PSTN accomplish the following codec

G.711 simulations. The following hypothesis presents data - what properties and

methods generate the most optimal solution in the wireless network between 802.11

and mobile devices, where among other upstanding jitter and congestion examinated

with help by priorities ”Lync Enterprise Voice (DSCP 42)" and "voice UDP (DSCP

56) ".


upstanding jitter. Analyses of measured tables are presented in the results whether

the traffic interplay between the wireless network and mobile devices.

6

Which selected mobile devices presented showed the least and most jitter at

Umeå Universitys 802.11 network?

What measurement of QoE - qualities achieved the various mobile devices

in comparison to voice MOS table 1-5 scale upstream and downstream?


upstanding jitter despite limitations in smartphones Wi-Fi interface. Analyses of

measured graphs are presented in the results (detailed tables are shown in

Appendix). In this work, the reporting of traffic measurements demonstrates the

smartphones that are suitable in voice and real-time traffic (RTP) with jitter in the

background.

3 Managament and Frame Exchanges

3.1 Lync Architecture

The architecture of Lync Server 2013 is based on installations of external

components which are operational, network, database and phone system. The

components can be newly introduced or expanded from existing infrastructure. Wide

Area Network (WAN) is the master key for international communication. PSTN

Gateway guides Lync telephony to trade international telephone system. Reverse

Proxy allows external traffic to be able to communicate with the internal network

without the external user connecting directly to the system's internal networks. This

works in the sense that external users are connecting to Reverse Proxy (RP) and RP

connects itself to the internal system. Firewalls are an important factor and are

always in a system with special filter for network traffic. Another service, Office

Web Apps Server provides MS PowerPoint integration with conference calls.

Internet Information Services (ISS) are already integrated in Microsoft web server.

SQL Server is used by all “Lync front-end " servers. File sharing is also an

important component for sharing and storing. Last, one of the most important

components is the Active Directory, existing goes to expand user topology where

Lync Server requires CA for secure encrypted data transfer and AD CS which

forwards the service.

Components of Communicator

deployment:

• WAN

• PSTN

• PSTN Gateway

• Reverse Proxy

• Firewall

• Office Web Apps Server

• Internet Information Services (IIS)

• SQL Server

• Active Directory

• File Share

• Certificates (TLS, HTTPS, SRTP)

Combined multiple servers with

Pools:

• Front End Pool

• Edge Pool

• Mediation Pool

• Director Pool

• Persistent Chat Pool

7

Lync Pool is the product of a number of composite services with different roles.

There are five different pools that are supported by Lync Server 2013. ”Front End

pool" with personal credentials and registration, current status information , Address

Book, IM, conferencing, conferencing over PSTN, audio visual conferencing,

application set. "Edge Pool” assists more external connected users to be able to

connect to Lync installation. Mediation Pool adapts the role of voice to multiple

servers. Director Pool is not recommended but is used to combine multiple servers.

Persistent Chat Pool handle larger amounts of chat conversations in combined

multiple servers. [5]

8

Figure 1. Lync Enterprise Voice architecture. [5]

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3.2 Medium Contention in 802.11

Queuing strategies or medium contention needs in regarding communication as

802.11 communicates in half-duplex, that the mechanism in the wireless network

does not support QoS. Queue strategies have been asked to put “traffic lights” at

802.11 to avoid collisions if two transmitters would unfortunately happen to transmit

simultaneously. Full duplex only works in an Ethernet network and therefore

supports full QoS then the channel which can transmit and send simultaneously. The

reason that 802.11 do not fully support QoS depends on the factors behind the

CSMA / CA (Collision Avoidance) with half duplex, shown in figure 2. The method

with CSMA/CD same as DCF is useful in Ethernet network with full duplex,

example in a hub-network topology. Wireless in half-duplex is not able to detect

collisions /CD, and the method is based on Avoidance technique and lower

throughput to data ratio in wireless. [15] In essence, this project is about “VoIP over

WLAN”, and efficiency for the low estimated quality based in the plurality of

mechanisms in the system by buffer time and overhead packets, which means delay.

These well-established mechanisms for “VoIP over WLAN” system are caused by

different MAC control mechanisms. VoIP over WLAN should be separated from the

802.11 protocol stack with the use of other data traffic. [9]

There are additional terms that should be mentioned. With knowledge of

compatibility and functionality requires the use understanding how the medium

contention works in wireless network. CSMA/CA contains the Distributed

Coordination Function (DCF) and Hybrid Coordination Function (HCF). The

difference between these two is significant for QoS. DCF lacks QoS in 802.11 while

HCF use foundation of WMM/802.11e - Enhanced Distributed Channel Access

(EDCA) works similarly to DCF with additional parameters for different priority

levels of QoS and protect the traffics by many users in same access point.

In a scenario, each mobile device connected to the same AP in 802.11 has to

communicate in same time. If two clients and an access point, totally 3 devices have

to share the same RF medium. EDCA does not support 802.11e (QoS). DCF is

alternative for proper use of QoS with contentions. [15]

Figure 2. Scheme for CSMA/CA with backoff strategy.

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3.2.1 Interframe Spaces (IFS) types

“Physical Carrier Sense” and “Virtual Carrier Sense” arbitrate data to transmit in

same time (CDMA/CA) and other mechanisms require avoiding collisions.

Interframe space has 6 different types of IFS protocols interacted to 802.11

networks. These varying methods obtain different controlling timeframes detecting

idleness in the channel. Intercepts and control before data transmitted through the

medium must be scrutinized with IFS protocols.

DIFS

Distributed Coordination Function Interframe Space (DIFS) DCP+IFS

DCF coordinate CSMA / CA intervals with binary exponential back-off algorithm.

The medium with the received data must be controlled by the Virtual Carrier Sense

mechanism before DIFS may occur. DIFS ensures higher priority on non-QoS data

transmission by staying silent for some time and used in unfinished arbitration as

you can see in figure 3.

Figure 3. The length of DIFS = SIFS + 2 slot times. [18].

SIFS

The method in Short Interframe Space (SIFS) uses for highest priority transmission

by access to radio link before transmitting data. SIFS interval is in fundamental

shorter than other IFS. The various IFS in figure 4 showing different defer access.

Figure 4. IFS illustration. [18]

3.2.2 Call Admission Control with QoS

Quality of Service architecture based on fundamentals highlighted prioritization and

delegation of quality traffic PQ in network equipment and terminal devices. The

11

entirety of the QoS in the network consists of many different methodological

architecture structures and plans. Call Admission Control (CAC) is involved but still

own distinct architecture that supports QoS, significantly, by preventing or allowing

different SRTP traffic for incoming calls. The concept of the CAC applies the influx

of traffic with voice and video, aim to exclude non- data traffic for better QoE in

phone calls. CAC configured to reject reliable and /or unreliable devices with non-

real-time traffic in order to protect the voice and video traffic for oversubscription. If

oversubscription link in the network resulted queues, buffering and lost packet

against overwhelming decision congestion. Congestion means the consequences of

timeout and new inquiries; retransmission going on about the medium is occupied

by other traffic. [3] The current real-time traffic, there are no full assurance of

optimal passing throng when sensitivity persists in most cases, packets are dropped

or delayed. The delay -sensitive traffic such as voice and video stops when the

congestion ratio of the network can affect the QoS, the result is the connection for

access to the network remains limited.

The difference with and without affecting the traffic CAC timing the

presentations will be clear at a VoIP -based network without CAC. As previously

designated protected voice and video traffic from data traffic with CAC

configurations is required to obtain functionally QoS. A network without CAC

settings, coherence in mechanism functions with distinctive IP packets for specific

voice traffic management errors. The problem means that network traffic which is

sent will be confused to know where the receiver excists in the topology if more

than two conversing are active in same time, shown in figure 5. The reason of this is

the network can't separate the data traffic. [4]. Media traffic singled and compared

with DSCP instead of COS according to recommendations to get higher priority.

[16]

Figure

Figure 5. VoIP based network without Call Admission Control. [4]

The architecture of the CAC contains building blocks toward improving localization

in network modeling and smoother LBM. Node points in a LAN are relevant to the

links and bandwidth defined by metrics. The importance of metrics in the network is

dependent on efficient route to the destination if it is more than two. The algorithm

for the "most effective way" calculates the summation of all roads bandwidth costs

adding up the cheapest ie. best minimum bandwidth traffic route. A VoIP network

with CAC are shown in figure 6. [16].

Figure 6. VoIP based network with Call Admission Control. [4]

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3.2.3 Congestion Control in merging transmissions

Jitter is practically impossible to avoid in a wireless network with half - duplex.

Wireless network, directs and manages package with algorithms and protocols to

avoid collisions between multiple transmitters. IFS queuing strategies calculates

back-off and waiting times at each transmitter and sends the packets when the

channel is free (cf.). Through based Congestion Control Window Size, (CCWS)

marked variations in updating policy Congestion control Window size variations are

illustrated below (figure 7).Congestion Window uses the algorithm AIMD (Additive

Increase Multiplicative Decrease) in the TCP transferring. Multiplicative Decrease

illustrates in table 1 and figure 7 when packet loss occurs in a Multiplicative

Decrease and restarts from last congestion threshold. The table shows in RTT in line

4 that packet loss of 8 and following packets starts over in RTT 5. Same procedure

happens to the remaining packet losses. Contention Window in first drop is 4 “7, 8,

9, 10” and the second Contention Window are 6 “20, 21, 22, 23, 24, 25”. Threshold

is the recent restore point, threshold calculated from the last packet loss. [8, 17]

RTT Sequece #

1 1

2 2, 3

3 4, 5, 6

4 7, 8, 9, 10

5 8, 9, 10

6 11, 12, 13, 14

7 15, 16, 17, 18, 19

8 20, 21, 22, 23, 24, 25

9 23, 24,

10 25, 26, 27,

11 28, 29, 30, 31

12 32, 33, 34, 35, 36

13 36, 37, 38 39

14 40

Table 1. Illustrations table of packet loss with AIMD.

𝑇ℎ𝑟𝑜𝑢𝑔ℎ𝑓𝑙𝑜𝑤 = 𝑃𝑎𝑐𝑘𝑒𝑡𝑠×𝑃𝑎𝑐𝑘𝑒𝑡𝑆𝑖𝑧𝑒×𝑏𝑖𝑡𝑠

(𝑅𝑇𝑇×𝑅𝑇𝑇𝑠) (1)

Figure 7. Congestion Window with AIMD, packet loss MD. [19]

13

Wn←{𝑊𝑛 + 𝑓(𝑊𝑛), 𝑖𝑓 𝐶𝐸𝑛 = 𝑠𝑢𝑐𝑐𝑒𝑠𝑠

𝑊𝑛 − 𝑔(𝑊𝑛)𝑊𝑛, 𝑖𝑓 𝐶𝐸𝑛 = 𝑓𝑎𝑖𝑙 (2)

Congestion control Window size variations algorithm.

Wn is the Congestion Window with several user of n. Following f(Wn) increase

function g(Wn) decrease function.. If Control Event with several users success or

fail.

Slow-Start drops the packet which causes packet loss, which means restart from one

see figure 8. The transmitting packets increase in exponential mode ahead to

threshold position. When packet loss occurs again will the congestion window

reduce by half and restarts with exponential increasing until threshold position, and

increase with Additive Increase (figure 8). The method for AIMD based on RTT

with number sequences packet to be transmitted to the recipient [8, 17].

Figure 8. Slow-Start alternative to AIMD. [20]

3.2.4 Quality of Experience with MOS-feedback

The authors of [13] maximizes performance for RTP traffic by modeling the QoE -

ware congestion control with POMDP - the algorithm. POMDP enhances transport

of RTP traffic, referred to as MOS or QoE measured through the MOS. Limitations

are always in QoS based strategies despite optimization, QoE - based are described

in more appropriate and effective method by optimizing the indulgence to

improvements in transmission algorithms and protocol in relation to user

satisfaction.

Quality of Experience in a half - duplex network refers benefits and quality of

MOS based on user experience, with the disadvantages that codecs to save on

bandwidth utilization by compressions of voice. The project applies the codec G.711

for audio capability flattering within the PSTN with the option G.722 for audio /

video conferencing. QoS in a half - duplex network restricts manipulations and

turnovers for the best perceived quality. POMDP, the algorithm improves the

perceived RTP traffic among users with TCP set. The scale of the set varies among 1

14

to 5. During the four perceived as non- satisfactory in users. MOS scale verifies user

quality against the potential to regain high QoE MOS feedback. Packet loss and

jitter can lead to variations in the MOS feedback resulting lower margins on 1-5

scale bottleneck links. Autonomous Bellman equation and Makrow Decision.

4 METHOD

4.1 SLA Application

Measurement studies presented in this work will be done in qualitative methods with

focus on jitter. Measurement simulations in Samhällsvetarhuset at Umeå University

contemplated by approximated measurement results in order to enhance the

knowledge whether the selected mobile devices handle the expectations of the

established SLA through the wireless network. The method contains two applied

parts, practical and theoretical. Practical Approach describes the implementation of

measurement simulations using the specified resources below. Theoretical Approach

describes credentials flush set SLA.

Service Level Agreement stipulates mobile devices to have the smallest possible

measurement achieving the stated SLA references to be qualified. SLA sets are

specified by the standard requirement for handling voice. Voice codec is specified

according to standard G.711 PSTN for common units.

Table 2. SLA-description yellow marked area – relevant, grey marked - irrelevant.

Yellow highlighting in Table 2, are included to be measured to each mobile device

as the last topic results. Measuring basic description includes upstream and

downstream voice jitter in simulation measurements and will result numbers in

tables. All units in table 2, in the end will result percentages. The results will be

analyzed in bar chart as percent and benchmarks.

Measurement Description

Signal Strength

Data

Voice MOS

Upstream Voice MOS

Downstream Voice MOS

Lync Aggregation

Upstream Lync Enterprise Voice Packet Loss

Upstream Lync Enterprise Voice Max Consecutive Packet Loss

Upstream Lync Enterprise Voice Jitter

Upstream Lync Enterprise Voice Peak Jitter

Downstream Lync Enterprise Voice Packet Loss

Downstream Lync Enterprise Voice Max Consecutive Packet Loss

Downstream Lync Enterprise Voice Jitter

Downstream Lync Enterprise Voice Peak Jitter

Lync Enterprise Voice Round-Trip Delay

15

4.1.1 Service Level Agreement (SLA) on Laptop

The tables show the SLA sets applied during the measurements. "Enterprise Voice"

goes with the priority "DSCP 42" and "Voice UDP" - DSCP 56. The SLAs are

modified to standard settings for good required options.

ENTERPRICE VOICE SLA TARGET

Codec G.711

DSCP 42

TCP/UDP Payload

Size (byte) (255)

Round Trip Delay 0,02 0.01

Loss (%) 1,00 0.5

Max consecutive

Loss (Packets) 2 0

Jitter (sec) 0,04 0.01

Peak Jitter (sec) 0,05 0.02

Table 3. Enterprise voice SLA

VOICE UDP SLA TARGET

Codec G.711

DSCP 56

TCP/UDP

Payload Size (byte)

(176)

MOS 4,0 4,20

Delay Factor (sec) 0,15 0,00


Loss (%) 1,00 0.00

Max consecutive Loss (Packets)

10 0,00



Table 4. Voice UDP SLA

4.1.2 Service Level Agreement (SLA) on Smartphone

Selection of SLA values are chosen in standard for smartphones with DSCP 42 in

“Enterprise Voice” and DSCP 56 in “Voice UDP”. All specific data will be

compiled by each individual mobile device whether the device handles every

element of measurement descriptions (see table 2 in 4.1).

ENTERPRICE

VOICE SLA TARGET

Codec G.711

DSCP 42

TCP/UDP

Payload Size (byte)

(255)


Loss (%) 1,00 0.5

Max consecutive

Loss (Packets) 2 0




VOICE UDP SLA TARGET

Codec G.711

DSCP 56

TCP/UDP

Payload Size

(byte) (176)

MOS 4,0 4,20

Delay Factor

(sec) 0,15 0,00

Round Trip

Delay 1,00 0.00

Loss (%) 1,00 0.00

Max

consecutive

Loss (Packets) 10 0,00


Peak Jitter

(sec) 0,06 0.00


16

4.2 SLA measurement

4.2.1 Practical Application

The methodology for simulation measurements apply with the software

WaveDeploy PRO 5.7 on laptop HP EliteBook 2560p in eduroam wireless network.

Measuring objects for the project includes the selected mobile devices including

laptop HP EliteBook 2570p. The planning of the method was to study the various

phenomena of jitter and from results tables using SLA references. Routing

techniques in wireless network is mediated by different algorithms with the Service

Level Agreement sets.

The implementation of the method is applied to the measurement resources and

measuring preferences in the Samhällsvetarhuset at Umeå University. For measuring

objects shall record traffic between WaveDeploy used applications Wave Agent in

mobile clients in connection with the measurements. Application Wave Agent for

smartphones can be downloaded from the "Appstore” for iOS and “Play Store” for

android. Wave Agent application on mobile phones balls traffic between a desktop

servers, connected to the wired network. The traffic recorded in WaveDeploy and

generates results with numbers and percentage tables.

This measurement method for the project is new in the company and performed

the first time to investigate and voice traffic among wireless units. First

measurements were tested before the project began. This is to ensure that all devices

are the connection between the clients.

Measurement in SVH (Social Sciences):

The first measurement was made in connection with business school in the office

corridors on the 2nd floor. Each measurement is approximated to 3 minutes per

measurement point preference. The measurement took approximately 112 minutes to

pass through in samhällsvetarhuset. The measurements for MIT-building took 290

minutes to finish on 2 floors.

Measure object: Abbreviations: Modell: Version:

Samsung Galaxy s2 SAM GS2 GT-I9100 WaveAgent v5.8

Samsung Galaxy s4 SAM GS4 GT-I9505 WaveAgent v5.8

Samsung Galaxy s4 active SAM GS4 active GT-I9295 WaveAgent v5.8

Samsung Galaxy s5 SAM GS5 SM-G900F WaveAgent v5.8

iPhone 5 iPhone 5 ME435KN/A WaveAgent v5.7

iPad Air iPad Air#1 MD785KS/A WaveAgent v5.7

iPad Air iPad Air#2 MD785KS/A WaveAgent v5.7

HP EliteBook 2570p laptop WaveAgent v5.7 Table 7. Mobile devices with model and abbrevations for this project.

Equipment: Version:

HP EliteBook 2560p WaveDeploy v5.7

HP EliteBook 2560p (Server) WaveAgent v5.7 Table 8. Equipment for using of the software on hardware.

17

Software: Version:

WaveDeploy V5.7

WaveAgent v5.7, 5.8 Table 9. The software is uses with WaveDeploy and WaveAgent.

4.2.2 Theoretical Application

After the practical applications the results were exmined according to SLA

references and measurement description among mobile devices. A number of

references are presented from SLA sets of upstream and downstream - Mean

Opinion Score (MOS) based on QoE satisfaction is an important SLA reference. The

ratio between MOS and Quality of Experience (QoE) appreciates the point scale

from 1 to 5. Value 4 is measured as satisfactory by the users, and below value 4

drops user quality. More of measurement description part will be shown in the

results where mobile devices are compared with comparison charts/tables. The

project applies the codec G.711 for audio capability flattering at 64.8 Kbps within

the PSTN with G.722 option of 46.1 Kbps for audio / video conferencing

The tables are created in MS Excel, inserting figures and interface value

“passed, marginal or failed”. These values are entered in Excel which are the results

from each measurement of preferences in the samhällsvetarhuset.

SLA sets of thresholds applied in WaveDeploy. During the measurements SLA

sets are compared according to claim of mobile units' functionality. If failed

measurement of SLA target set is estimated as failed.

4.2.3 Problem issues

Subject codec was the basic idea from the beginning to measure simulation

traffic between conference call with G.722. In this project, did the

measurements in G.711 for PSTN.

Mobile clients during simulation measurements in samhällsvetarhuset stepped

out from eduroam and lost connection with WaveDeploy. The result tables

<missing> shown in gray to indicate that this measurement preference was

missed. Mainly Samsung Galaxy S4 active missed seven preference points out

of 37 total measurements. In calculus rings were excluded missed parties to

equate the percentage values. IPad Air No.2 stepped out of eduroam in two

preference points, which is that the two failed parties are excluded from the

calculation rings in Samsung Galaxy S4 active.

Datasheets for MIT building is not available in this report.

4.2.4 Elaborate issues

More research in the particular subject for QoS-parameters with solution to

intensify the RF medium and establish finesses.

Specify "what/which" measure traffics captured in the simulation program

by IXIA.

IXIA is cautious with clear explanations regarding QoS-tagging in

simulation tests. IXIA explains that clear solutions on QoS-tagging not

available yet. Bug fixes and solutions and new features will eventually

show up accordingly to them.

18

5 RESULTS

The measurement results are shown in graph percentage and score. By answering

the questions, analyzes of the results are reviewed with due respect and definitions.

MOS score is summed for all mobile devices. The scale of the MOS should be

defined with the scale among 1 to 5. To qualify the MOS-score scale would result

step over 4.0 to represent passed. Target to meet the requirements should reach at

least 4.2 to pass. Between 4.0 and 4.2 represents the margin. By achieving QoE-

requirement, the respective devices meet the MOS score of 4.0 or higher to be

valued satisfactory. The result of tables are available in Appendix B.

Summarization of all measure description (table 2) shows as bar charts.

All results are based to each device capacity of from measurement description

(see table 5 in 5.1). The percentage are summarized by each pass, marginal and

failed.

5.1 Voice MOS

Figure 9. iPhone5 resulted worst. Samsung Galaxy S5 resulted best.

49%

48%

38%

37%

33%

29%

24%

8%

27%

54%

49%

49%

50%

63%

59%

30%

24,30%

13,50%

13,50%

5,40%

13,30%

8,60%

16,20%

62,30%

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

SAM GS2

SAM GS4

Laptop

SAM GS5

SAM GS4 active

iPad Air2

iPad Air1

iPhone 5

SAM GS2 SAM GS4 Laptop SAM GS5SAM GS4

activeiPad Air2 iPad Air1 iPhone 5

Passed 49% 48% 38% 37% 33% 29% 24% 8%

Marginal 27% 54% 49% 49% 50% 63% 59% 30%

Failure 24,30% 13,50% 13,50% 5,40% 13,30% 8,60% 16,20% 62,30%

Voice MOS

Passed Marginal Failure

19



51%

35%

37%

46%

41%

29%

24%

16%

24%

52%

50%

49%

46%

63%

62%

30%

24%

14%

13%

5%

14%

9%

14%

54%

SAM GS2

SAM GS4

SAM GS4 active

SAM GS5

Laptop

iPad Air2

iPad Air1

iPhone 5

SAM GS2 SAM GS4SAM GS4

activeSAM GS5 Laptop iPad Air2 iPad Air1 iPhone 5

Passed 51% 35% 37% 46% 41% 29% 24% 16%

Marginal 24% 52% 50% 49% 46% 63% 62% 30%

Failure 24% 14% 13% 5% 14% 9% 14% 54%

Upstream Voice MOS


49%

44%

40%

37%

8%

27%

29%

42%

27%

51%

46%

50%

30%

57%

63%

48%

24%

5%

14%

13%

62%

16%

9%

14%

SAM GS2

SAM GS5

SAM GS4

SAM GS4 Active

iPhone5

iPad Air1

iPad Air2

Laptop

SAM GS2 SAM GS5 SAM GS4SAM GS4

ActiveiPhone5 iPad Air1 iPad Air2 Laptop

Passed 49% 44% 40% 37% 8% 27% 29% 42%

Mariginal 27% 51% 46% 50% 30% 57% 63% 48%

Failure 24% 5% 14% 13% 62% 16% 9% 14%

Downstream voice UDP

Passed Mariginal Failure

20


Figure 13. iPhone5 resulted worst. Samsung Galaxy S4, S4 active and S2 resulted

best.

100%

100%

100%

97%

95%

100%

95%

38%

0%

0%

0%

0%

3%

0%

3%

5%

0%

0%

0%

3%

3%

0%

3%

57%

SAM GS2

SAM GS4

SAM GS4 active

SAM GS5

Laptop

iPad Air2

iPad Air1

iPhone 5



Passed 100% 100% 100% 97% 95% 100% 95% 38%

Marginal 0% 0% 0% 0% 3% 0% 3% 5%

Failure 0% 0% 0% 3% 3% 0% 3% 57%



0%

0%

0%

0%

0%

0%

0%

0%

35%

19%

7%

24%

19%

14%

16%

3%

65%

81%

93%

76%

81%

86%

84%

97%

SAM GS2

SAM GS4

SAM GS4 active

SAM GS5

Laptop

iPad Air2

iPad Air1

iPhone 5



Passed 0% 0% 0% 0% 0% 0% 0% 0%

Marginal 35% 19% 7% 24% 19% 14% 16% 3%

Failure 65% 81% 93% 76% 81% 86% 84% 97%

Lync Aggregation


21

Figure 14. SAM GS4 activ resulted worst. iPad Air1 resulted best.

Figure 15. iPad Air1 resulted worst. iPhone 5 resulted best.

70%

68%

67%

76%

62%

74%

30%

78%

0%

3%

3%

0%

5%

3%

5%

0%

30%

30%

30%

24%

32%

23%

65%

22%

SAM GS2

SAM GS4

SAM GS4 active

SAM GS5

Laptop

iPad Air2

iPad Air1

iPhone 5



Passed 70% 68% 67% 76% 62% 74% 30% 78%

Marginal 0% 3% 3% 0% 5% 3% 5% 0%

Failure 30% 30% 30% 24% 32% 23% 65% 22%

Downstream Lync Enterprise Voice Packet loss


64%

62%

28%

65%

57%

60%

54%

65%

11%

8%

11%

14%

15%

15%

30%

15%

25%

30%

61%

22%

30%

26%

16%

22%

SAM GS2

SAM GS4

SAM GS4 active

SAM GS5

Laptop

iPad Air2

iPad Air1

iPhone 5



Passed 64% 62% 28% 65% 57% 60% 54% 65%

Marginal 11% 8% 11% 14% 15% 15% 30% 15%

Failure 25% 30% 61% 22% 30% 26% 16% 22%

Downstream Lync Enterprise Voice Max Consecutive

Packet Loss


22


Figure 17. iPhone5 resulted worst. iPad Air 1 resulted best.

3%

0%

0%

0%

0%

0%

0%

0%

95%

100%

100%

95%

100%

97%

97%

92%

3%

0%

0%

5%

0%

3%

3%

8%

SAM GS2

SAM GS4

SAM GS4 active

SAM GS5

Laptop

iPad Air2

iPad Air1

iPhone 5



Passed 3% 0% 0% 0% 0% 0% 0% 0%

Marginal 95% 100% 100% 95% 100% 97% 97% 92%

Failure 3% 0% 0% 5% 0% 3% 3% 8%



0%

0%

0%

0%

0%

0%

0%

0%

67%

60%

70%

62%

65%

74%

76%

49%

33%

40%

30%

38%

35%

26%

24%

51%

SAM GS2

SAM GS4

SAM GS4 active

SAM GS5

Laptop

iPad Air2

iPad Air1

iPhone 5



Passed 0% 0% 0% 0% 0% 0% 0% 0%

Marginal 67% 60% 70% 62% 65% 74% 76% 49%

Failure 33% 40% 30% 38% 35% 26% 24% 51%



23

Figure 18. Samsung Galaxy S5 resulted worst. SAM GS4 activ resulted best.

Figure 19. Samsung galaxy S4 active dropped 95% of the packets.

8%

0%

7%

3%

3%

3%

5%

5%

89%

100%

93%

89%

97%

94%

95%

89%

3%

0%

0%

8%

0%

3%

0%

5%

SAM GS2

SAM GS4

SAM GS4 active

SAM GS5

Laptop

iPad Air2

iPad Air1

iPhone 5



Passed 8% 0% 7% 3% 3% 3% 5% 5%

Marginal 89% 100% 93% 89% 97% 94% 95% 89%

Failure 3% 0% 0% 8% 0% 3% 0% 5%



0%

0%

0%

0%

0%

0%

0%

0%

67%

57%

7%

65%

73%

49%

49%

59%

33%

43%

93%

35%

27%

51%

51%

41%

SAM GS2

SAM GS4

SAM GS4 active

SAM GS5

Laptop

iPad Air2

iPad Air1

iPhone 5



Passed 0% 0% 0% 0% 0% 0% 0% 0%

Marginal 67% 57% 7% 65% 73% 49% 49% 59%

Failure 33% 43% 93% 35% 27% 51% 51% 41%



24


24%

16%

7%

16%

19%

11%

3%

3%

22%

16%

13%

22%

9%

9%

22%

3%

54%

68%

80%

62%

72%

80%

76%

95%

SAM GS2

SAM GS4

SAM GS4 active

SAM GS5

Laptop

iPad Air2

iPad Air1

iPhone 5



Passed 24% 16% 7% 16% 19% 11% 3% 3%

Marginal 22% 16% 13% 22% 9% 9% 22% 3%

Failure 54% 68% 80% 62% 72% 80% 76% 95%



25

5.2 HeatWave Comparison Samhällsvetarhuset

This heat wave table shows the comparison in samhällsvetarhuset between various

devices. The green mapping localizes the passing waves and red showing the failed

waves.

Figure 21. Comparison heatwave table.

26

5.3 Summation

The summation of all units in measurement description from table 2 (4.1) are

aggregated to benchmark qualification. Mobile devices are merged with both jitter

and MOS. Samsung Galaxy S5 has the most score of all attended devices (see figure

22). The results of the measurements proved that the Samsung Galaxy s5 passed

with the best score. The results of the measurements proved that the iPhone 5 gave

the worst score. The marginal score is based to MOS “satisfied” level.

Figure 22. Merged summations of SLA-units into benchmarks.

415 369 384316 262

335221

357

462 515 520

454 568544

402

529

323 316 296430 370 321

577

314

0

200

400

600

800

1000

1200

1400

SAM GS2SAM GS4SAM GS5SAM GS4

active

iPad Air1 iPad Air2 iPhone 5 laptop

sUM

ME

RIN

G I

%

Summerad MSD

Failed

Mariginal

Passed

27

6 CONCLUSION

Analyzed problem

Lync at Umeå University with upstanding jitter between 802.11 wireless network

and mobile devices is practically impossible to fix 100 % full reliability with today's

methods in packets stabilizing. The conclusion is based on the conditions of

assumptions and formulations, produced knowledge in researching. The best

practice for good QoS is appropriate Medium Contentions with IFS and algorithms

between mobile devices and the wireless network atmosphere. Comparison with the

MOS scale to the measured QoE levels are chosen to fulfil the user satisfaction into

establish a stable connection to the recipient. Selection of measurement gives the

opportunity for others to implicitly conjunction see which mobile devices are an

advantage to select for Voice over WLAN. With the MOS-scale simplifies the

ensurance for customers to find the right mobile device for use of Voice-

applicaitons. The decision about which mobiles belonging to best target are with

acquit of SLA requirements as the presenting results in foundation of recommended

products as the best devices for RTP-traffic in voice with codec G.711. This will

predict the future which devices may be appealing.

Regarding to mobile devices that were tested have different abilities to handle

RTP traffic, also depending on the wi-fi components. The complexity of current

similarities in two equal iPad Airs shows very different results even though several

separated measurements. This may also show that each device has specific

capabilities to offer in the 802.11. The results cover in this report how these eight

selected mobile devices generate an interaction in the wireless network for real time

traffic effort.

The main issue were to measure which mobile device handle the voice traffic

with best according to Lync application in use at Umeå University. I estimated data

about the object to be measured for further investigation of Voice troubleshooting.

Description of solution to the problem

The solution to this problem of jitter can be reduced with a better response in the

wireless network with Wi-Fi certified smartphones, fixations in the operating system

versions, new methods for the transfer of RTP, Enterprise Voice and Voice UDP

traffics and more stable packet prioritization and stabilize connection by adjust the

QoS parameters. This project analyze jitter, packet loss and mean delay problems.

By the informality foundation of recommended products to employees at Umeå

University.

Summery of the work

In this work I descibed the implementation background of Lync Server 2013 at

Umeå University with ITS responsibility to maintain the servers. Henceforth

propagation of replacing the IP PBX with Lync will be the basis of employees

mobility office in their pocket. User satisfaction has given mixed effects where users

have been satisfied and some dissatisfied by Lync. The reason for dissatisfaction is

caused by some fractions in the wireless network, mobile devices and written

programs.

28

Results discussing

Basically, I did not had the expectation that Samsung Galaxy S2 should show up

with good score results. Samsung Galaxy s2 is not the most optimal smartphone on

the market anymore. Expectations was different from the results and still we

wonder if there is any way to manipulate the results by using a new version of

android (note: last release is in use). Differences to use a mobile as a computer or

cellphone have no affects to the results. New OS versions and functions for the

lastest smartphone models gives more importance to use multimedia applications in

work and leisure to keep in touch with the world.

Samsung Galaxy s2 have android version 4.2.2 according to the SAM GS4 and

SAM GS5 which have android version 4.4.2. In general with knowledge and

exception which shown in results for the smartphones would be the laptop with

windows 7 gives better result. The factors behind jitter can be found in many

divergent solutions.

The conclusion of the top four mobile devices when handling UDP Voice and

Lync Enterprise Voice:

1. Samsung Galaxy s5



4. HP elitebook 2560p

Apple products were worst in the results. In the measurement was the signal strength

missing, hidden by the manufacturer. Henceforth the SAM GS4 active was as

expected not good by handling RTP-traffics.

The Conclusion of the bottom three mobile devices when handling UDP Voice

and Lync Enterprise Voice:

1. iPhone 5

2. Samsung Galaxy s4 Active

3. iPad Air #1

4. iPad Air #2

My reflections

In another sense, even if both Samsung Galaxy s5 and iPad Air have 2x2 MIMO

antennas in the devices does not appeal the expected results as waited. The

expectations for mobile device functionality might exclude the antenna radiations

capability which is not giving affections to the management of traffic. I will exclude

antenna and radiation from a factor behind the issue with Lync. I think the main

issue are stuck in the software and compability. The media management in each

device has different operating systems and programmed functions which handles the

structure of the first 4 OSI-layers. Apple products is created by their own

manufacturing and their software programs is totally different from android devices.

Basically all devices is based to any kind of structure to be a unique device with

hardware and software to interact with human actions, which was also proven with

two identical iPad Airs in this project.

I would say the interesting factor is that old devices give the good results. In my

expectation I suggest the Samsung Galaxy s5 and iPad Air should generate the best

results, but the best device of all is Samsung Galaxy S5.

29

7 Referensers

[1] Deb Shinder. Techrepublic. 5 augusti 2007

http://www.techrepublic.com/blog/10-things/10-things-you-should-know-about-voip-

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04

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http://products.office.com/en-us/lync/

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http://user.it.uu.se/~carle/Notes/43_TCP.html

1

APPENDIX A

Figure 1. Lync Enterprise Voice architecture.

Figure 2. Scheme for CSMA/CA with backoff strategy.

Figure 3. The length of DIFS = SIFS + 2 slot times.

Figure 4. IFS illustration.

Figure 5. VoIP based network without Call Admission Control.

Figure 6. VoIP based network with Call Admission Control.

Table 1. Illustrations table of packet loss with AIMD.

Figure 7. Congestion Window with AIMD, packet loss MD.

Figure 8. Slow-Start alternative to AIMD

Table 2. SLA-description Gul markering – relevant, grå markering irrelevant.





Table 7. Mobile devices with model and abbrevations for this project.

Table 8. Equipment for using of the software on hardware.

Table 9. The software is uses with WaveDeploy and WaveAgent.




Figure 12. iPhone5 resulted worst. Samsung Galaxy S2 resulted best

Figure 13. iPhone5 resulted worst. SAM S4, S4 active and S2 resulted best.

Figure 14. SAM GS4 activ resulted worst. iPad Air1 resulted best.

Figure 15. iPad Air1 resulted worst. iPhone 5 resulted best.


Figure 17. iPhone5 resulted worst. iPad Air 1 resulted best.

Figure 18. Samsung Galaxy S5 resulted worst. SAM GS4 activ resulted best.

Figure 19. Samsung galaxy S4 active dropped 95% of the packets


Figure 21. Comparison heatwave table.

Figure 22. Merged summations of SLA-units into benchmarks.

2

APPENDIX B

Client Report

Samsung Galaxy S2

Client Observed Voice MOS (Aggregate)

The HeatWave map below indicates the performance of the Voice MOS (Aggregate)

application traffic as Observed by Smartphone - SAM GS2 [130.239.227.0:18100]

across the tested area. Any degradation in performance will directly correlate with

user experience.

Smartphone - SAM GS2 [130.239.227.0:18100]: Voice MOS (Aggregate)

Lync Aggregate

The HeatWave map below indicates the performance of the Lync (Aggregate)

application traffic as observed by Smartphone - SAM GS2 [130.239.227.0:18100]


user experience.

Smartphone - SAM GS2 [130.239.227.0:18100]: Lync (Aggregate)

3


The HeatWave map below indicates the upstream data loss of the Lync Enterprise

Voice application traffic as observed by Smartphone - SAM GS2

[130.239.227.0:18100] across the tested area.

Smartphone - SAM GS2 [130.239.227.0:18100]: Upstream Lync Enterprise Voice

Packet Loss

Mätpunkt datum Uppstream Lync Enterprice Voice Outcome


The HeatWave map below indicates the upstream maximum consecutive packet loss

of the Lync Enterprise Voice application traffic as observed by Smartphone - SAM

GS2 [130.239.227.0:18100] across the tested area.


Max Consecutive Packet Loss

4

Client Observed Upstream Lync Enterprise Voice Jitter

The HeatWave map below indicates the upstream jitter of the Lync Enterprise Voice


across the tested area.


Jitter

Client Observed Upstream Lync Enterprise Voice Peak Jitter

The HeatWave map below indicates the upstream peak jitter of the Lync Enterprise




Peak Jitter

5


The HeatWave map below indicates the downstream data loss of the Lync

Enterprise Voice application traffic as observed by Smartphone - SAM GS2


Smartphone - SAM GS2 [130.239.227.0:18100]: Downstream Lync Enterprise

Voice Packet Loss


The HeatWave map below indicates the downstream maximum consecutive packet

loss of the Lync Enterprise Voice application traffic as observed by Smartphone -

SAM GS2 [130.239.227.0:18100] across the tested area.


Voice Max Consecutive Packet Loss

6


The HeatWave map below indicates the downstream jitter of the Lync Enterprise




Voice Jitter


The HeatWave map below indicates the downstream peak jitter of the Lync




Voice Peak Jitter

7


The HeatWave map below indicates the downstream round-trip delay of the Lync



Smartphone - SAM GS2 [130.239.227.0:18100]: Lync Enterprise Voice Round-Trip

Delay

8

Samsung Galaxy s4

Voice MOS (Aggregate)




user experience.


Lync (Aggregate)




user experience.


9





Smartphone - SAM GS4 [130.239.236.204:18100]: Upstream Lync Enterprise

Voice Packet Loss







10






Voice Jitter






Voice Peak Jitter

11






Voice Packet Loss







12






Voice Jitter






Voice Peak Jitter

13





Smartphone - SAM GS4 [130.239.236.204:18100]: Lync Enterprise Voice Round-

Trip Delay

14

Samsung Galaxy s4 Active



application traffic as observed by Smartphone - Sam GS4 active

[130.239.239.157:18100] across the tested area. Any degradation in performance

will directly correlate with user experience.

Smartphone - Sam GS4 active [130.239.239.157:18100]: Voice MOS (Aggregate)

Lync (Aggregate)



[130.239.239.157:18100] across the tested area. Any degradation in performance

will directly correlate with user experience.

Smartphone - Sam GS4 active [130.239.239.157:18100]: Lync (Aggregate)

15



Voice application traffic as observed by Smartphone - Sam GS4 active


Smartphone - Sam GS4 active [130.239.239.157:18100]: Upstream Lync Enterprise

Voice Packet Loss



of the Lync Enterprise Voice application traffic as observed by Smartphone - Sam

GS4 active [130.239.239.157:18100] across the tested area.



16






Voice Jitter






Voice Peak Jitter

17



Enterprise Voice application traffic as observed by Smartphone - Sam GS4 active


Smartphone - Sam GS4 active [130.239.239.157:18100]: Downstream Lync

Enterprise Voice Packet Loss




Sam GS4 active [130.239.239.157:18100] across the tested area.


Enterprise Voice Max Consecutive Packet Loss

18






Enterprise Voice Jitter






Enterprise Voice Peak Jitter

19





Smartphone - Sam GS4 active [130.239.239.157:18100]: Lync Enterprise Voice

Round-Trip Delay

20

Samsung Galaxy s5





user experience.


Lync (Aggregate)


application traffic as

observed by Smartphone - SAM GS5 [130.239.234.191:18100] across the tested

area. Any degradation in performance will directly correlate with user experience.


21






Voice Packet Loss







22






Voice Jitter






Voice Peak Jitter

23






Voice Packet Loss

Downstream Lync Enterprise Voice Max Consecutive Packet Loss The HeatWave map below indicates the downstream maximum consecutive packet





24






Voice Jitter






Voice Peak Jitter

25





Smartphone - SAM GS5 [130.239.234.191:18100]: Lync Enterprise Voice Round-

Trip Delay

26

iPhone 5



application traffic as observed by Smartphone - iphone5 [130.239.213.108:18100]


user experience.

Smartphone - iphone5 [130.239.213.108:18100]: Voice MOS (Aggregate)

Lync (Aggregate)




user experience.

Smartphone - iphone5 [130.239.213.108:18100]: Lync (Aggregate)

27



Voice application traffic as observed by Smartphone - iphone5


Smartphone - iphone5 [130.239.213.108:18100]: Upstream Lync Enterprise Voice

Packet Loss



of the Lync Enterprise Voice application traffic as observed by Smartphone -

iphone5 [130.239.213.108:18100] across the tested area.



28






Jitter






Peak Jitter

29



Enterprise Voice application traffic as observed by Smartphone - iphone5


Smartphone - iphone5 [130.239.213.108:18100]: Downstream Lync Enterprise

Voice Packet Loss



loss of the LyncEnterprise Voice application traffic as observed by Smartphone -

iphone5 [130.239.213.108:18100] across the tested area.



30






Voice Jitter






Voice Peak Jitter

31





Smartphone - iphone5 [130.239.213.108:18100]: Lync Enterprise Voice Round-Trip

Delay

32

iPad Air nr1


The HeatWave map below indicates the performance of the Voice MOS (Aggregate) application traffic as observed by Smartphone - ipadAir1 [130.239.234.70:18100] across the tested area. Any degradation in performance will directly correlate with user experience. Smartphone - ipadAir1 [130.239.234.70:18100]: Voice MOS (Aggregate)

Client Observed Upstream Voice MOS

The HeatWave map below indicates the performance of the Upstream Voice

application traffic as observed by Smartphone - ipadAir1 [130.239.234.70:18100]


user experience.

Smartphone - ipadAir1 [130.239.234.70:18100]: Upstream Voice MOS

33

Client Observed Downstream Voice MOS

The HeatWave map below indicates the performance of the Downstream Voice



user experience.

Smartphone - ipadAir1 [130.239.234.70:18100]: Downstream Voice MOS

Client Observed Lync (Aggregate)




user experience.

Smartphone - ipadAir1 [130.239.234.70:18100]: Lync (Aggregate)

34

Client Observed Upstream Lync Enterprise Voice Packet Loss


Voice application traffic as observed by Smartphone - ipadAir1


Smartphone - ipadAir1 [130.239.234.70:18100]: Upstream Lync Enterprise Voice

Packet Loss

Client Observed Upstream Lync Enterprise Voice Max Consecutive Packet

Loss The HeatWave map below indicates the upstream maximum consecutive packet loss


ipadAir1 [130.239.234.70:18100] across the tested area.



35

Client Observed Upstream Lync Enterprise Voice Jitter The HeatWave map below indicates the upstream jitter of the Lync Enterprise Voice




Jitter






Peak Jitter

36

Client Observed Downstream Lync Enterprise Voice Packet Loss


Enterprise Voice application traffic as observed by Smartphone - ipadAir1


Smartphone - ipadAir1 [130.239.234.70:18100]: Downstream Lync Enterprise

Voice Packet Loss

Client Observed Downstream Lync Enterprise Voice Max Consecutive Packet

Loss






37

Client Observed Downstream Lync Enterprise Voice Jitter





Voice Jitter

Client Observed Downstream Lync Enterprise Voice Peak Jitter





Voice Peak Jitter

38

Client Observed Lync Enterprise Voice Round-Trip Delay



[130.239.234.70:18100] across the tested

area.

Smartphone - ipadAir1 [130.239.234.70:18100]: Lync Enterprise Voice Round-Trip

Delay

39

iPad Air nr2





user experience.

Smartphone - ipadAir2 [130.239.226.84:18100]: Voice MOS (Aggregate)





user experience.

Smartphone - ipadAir2 [130.239.226.84:18100]: Upstream Voice MOS

40





user experience.

Smartphone - ipadAir2 [130.239.226.84:18100]: Downstream Voice MOS





user experience.

Smartphone - ipadAir2 [130.239.226.84:18100]: Lync (Aggregate)

41






Packet Loss


Loss






42






Jitter






Peak Jitter

43






Voice Packet Loss


Loss






44






Voice Jitter






Voice Peak Jitter

45





Smartphone - ipadAir2 [130.239.226.84:18100]: Lync Enterprise Voice Round-Trip

Delay

46

HP EliteBook 2570p



application traffic as observed by Laptop - Laptop [130.239.235.161:18100] across

the tested area. Any degradation in

performance will directly correlate with user experience.

Laptop - Laptop [130.239.235.161:18100]: Voice MOS (Aggregate)




the tested area. Any degradation in performance will directly correlate with user

experience.

Laptop - Laptop [130.239.235.161:18100]: Upstream Voice MOS

47





experience.

Laptop - Laptop [130.239.235.161:18100]: Downstream Voice MOS





experience.

Laptop - Laptop [130.239.235.161:18100]: Lync (Aggregate)

48



Voice application traffic as observed by Laptop - Laptop [130.239.235.161:18100]


Laptop - Laptop [130.239.235.161:18100]: Upstream Lync Enterprise Voice Packet

Loss


Loss


of the Lync Enterprise Voice application traffic as observed by Laptop - Laptop


Laptop - Laptop [130.239.235.161:18100]: Upstream Lync Enterprise Voice Max

Consecutive Packet Loss

49




the tested area.

Laptop - Laptop [130.239.235.161:18100]: Upstream Lync Enterprise Voice Jitter





Laptop - Laptop [130.239.235.161:18100]: Upstream Lync Enterprise Voice Peak

Jitter.

50



Enterprise Voice application traffic as observed by Laptop - Laptop


Laptop - Laptop [130.239.235.161:18100]: Downstream Lync Enterprise Voice

Packet Loss


Loss


loss of the Lync Enterprise Voice application traffic as observed by Laptop - Laptop


Laptop - Laptop [130.239.235.161:18100]: Downstream Lync Enterprise Voice Max

Consecutive Packet

Loss

51






Jitter






Peak Jitter

52





Laptop - Laptop [130.239.235.161:18100]: Lync Enterprise Voice Round-Trip

Delay

1

APPENDIX C

2

Results from Samhällsvetarhuset (Full Table) Voice MOS

MP Datum/Tid SAM GS2 SAM GS5 SAM GS4 SAM GS4 active iPhone 5 Ipad Air1 iPad Air2 HP Laptop

1 fr 25. apr 14:00:49 2014 Marginal Passed Passed <Missing> Failed Marginal <Missing> Passed

2 fr 25. apr 14:01:45 2014 Passed Passed Passed Passed Failed Passed Passed Passed

3 fr 25. apr 14:03:15 2014 Passed Passed Passed Passed Failed Marginal Passed Passed

4 fr 25. apr 14:04:00 2014 Marginal Marginal Marginal Marginal Failed Marginal Marginal Failed

5 fr 25. apr 14:05:09 2014 Marginal Passed Passed <Missing> Marginal Passed <Missing> Marginal

6 fr 25. apr 14:08:16 2014 Failed Marginal Marginal Marginal Failed Marginal Passed Failed

7 fr 25. apr 14:09:03 2014 Failed Failed Failed Passed Failed Marginal Passed Marginal

8 fr 25. apr 14:09:47 2014 Failed Failed Passed Passed Failed Failed Passed Failed

9 fr 25. apr 14:10:32 2014 Failed Marginal Failed Marginal Failed Failed Passed Failed

10 fr 25. apr 14:12:07 2014 Marginal Passed Passed Passed Failed Failed Marginal Marginal

11 fr 25. apr 14:12:52 2014 Passed Passed Passed Passed Failed Passed Marginal Passed

12 fr 25. apr 14:13:40 2014 Marginal Marginal Marginal Marginal Failed Marginal Marginal Passed

13 fr 25. apr 14:14:46 2014 Marginal Marginal Marginal <Missing> Failed Marginal Marginal Marginal

14 fr 25. apr 14:16:03 2014 Passed Marginal Marginal <Missing> Marginal Marginal Marginal Passed

15 fr 25. apr 14:16:45 2014 Failed Marginal Marginal Marginal Marginal Marginal Marginal Passed

16 fr 25. apr 14:17:38 2014 Passed Marginal Marginal Marginal Marginal Marginal Marginal Passed

17 fr 25. apr 14:18:51 2014 Passed Passed Marginal Marginal Passed Marginal Marginal Passed

18 fr 25. apr 14:19:44 2014 Passed Marginal Marginal Passed Failed Marginal Marginal Marginal

19 fr 25. apr 14:22:01 2014 Passed Marginal Marginal Marginal Failed Marginal Marginal Marginal

20 fr 25. apr 14:22:49 2014 Passed Marginal Marginal Marginal Failed Marginal Failed Marginal

21 fr 25. apr 14:25:22 2014 Passed Marginal Marginal Passed Marginal Marginal Marginal Passed

22 fr 25. apr 14:26:27 2014 Marginal Marginal Marginal Marginal Marginal Marginal Passed Marginal

23 fr 25. apr 14:27:35 2014 Failed Passed Failed Passed Failed Marginal Marginal Passed

24 fr 25. apr 14:28:45 2014 Marginal Passed Passed Marginal Marginal Failed Failed Passed

25 fr 25. apr 14:29:42 2014 Failed Passed Passed Failed Failed Passed Passed Failed

26 fr 25. apr 14:30:49 2014 Failed Passed Passed <Missing> Marginal Passed Passed Marginal

27 fr 25. apr 14:32:25 2014 Passed Passed Passed <Missing> Failed Passed Marginal Marginal

28 fr 25. apr 14:37:15 2014 Passed Passed Passed Passed Failed Marginal Marginal Marginal

29 fr 25. apr 14:39:59 2014 Marginal Marginal Failed <Missing> Failed Failed Marginal Marginal

30 fr 25. apr 14:44:02 2014 Passed Passed Marginal Failed Failed Failed Marginal Passed

31 fr 25. apr 14:44:46 2014 Passed Marginal Marginal Marginal Marginal Marginal Marginal Marginal



34 fr 25. apr 14:48:22 2014 Passed Passed Marginal Failed Passed Marginal Marginal Marginal

35 fr 25. apr 14:49:15 2014 Passed Passed Failed Failed Failed Passed Failed Marginal

36 fr 25. apr 14:50:54 2014 Failed Passed Marginal Marginal Passed Passed Marginal Marginal

37 fr 25. apr 14:53:32 2014 Marginal Marginal Marginal <Missing> Failed Passed Passed Passed

Failure 24.3 % 5.4 % 13.5 % 13.3 % 62.2 % 16.2 % 8.6 % 13.5 %

Marginal 27 % 46.6 % 54 % 50 % 29.7 59.4 % 62.8 % 48.6 %

3

Passed 48.7 % 48 % 32.5 % 36.7 % 8.1 % 24.4 % 28.6 % 37.9 %

Upstream voice MOS

MP Datum/Tid SAM GS2 SAM GS5 SAM GS4 SAM GS4 active iPhone 5 iPad Air1 iPad Air2 HP

Laptop

1 fr 25. apr 14:00:49 2014 4.178 Marginal 4.207 Passed 4.206 Passed <Missing> <Missing> 2.647 Failed 4.141 Marginal <Missing> <Missing> 4.211 Passed

2 fr 25. apr 14:01:45 2014 4.208 Passed 4.209 Passed 4.212 Passed 4.208 Passed 1.902 Failed 4.210 Passed 4.207 Passed 4.211 Passed

3 fr 25. apr 14:03:15 2014 4.204 Passed 4.209 Passed 4.209 Passed 4.207 Passed 2.690 Failed 4.196 Marginal 4.208 Passed 4.210 Passed

4 fr 25. apr 14:04:00 2014 4.158 Marginal 4.088 Marginal 4.187 Marginal 4.158 Marginal 2.042 Failed 4.153 Marginal 4.199 Marginal 3.702 Failed

5 fr 25. apr 14:05:09 2014 4.191 Marginal 4.208 Passed 4.211 Passed <Missing> <Missing> 4.151 Marginal 4.209 Passed <Missing> <Missing> 4.199 Marginal

6 fr 25. apr 14:08:16 2014 3.921 Failed 4.164 Marginal 4.184 Marginal 4.131 Marginal 1.775 Failed 4.187 Marginal 4.213 Passed 1.589 Failed

7 fr 25. apr 14:09:03 2014 1.898 Failed 3.081 Failed 2.285 Failed 4.209 Passed 1.596 Failed 4.184 Marginal 4.213 Passed 4.192 Marginal

8 fr 25. apr 14:09:47 2014 2.229 Failed 1.180 Failed 4.212 Passed 4.205 Passed 2.754 Failed 3.809 Failed 4.213 Passed 2.709 Failed

9 fr 25. apr 14:10:32 2014 2.358 Failed 4.169 Marginal 2.708 Failed 4.139 Marginal 3.778 Failed 3.894 Failed 4.212 Passed 1.901 Failed

10 fr 25. apr 14:12:07 2014 4.180 Marginal 4.203 Passed 4.212 Passed 4.203 Passed 2.772 Failed 3.713 Failed 4.042 Marginal 4.201 Passed

11 fr 25. apr 14:12:52 2014 4.207 Passed 4.209 Passed 4.211 Passed 4.208 Passed 3.707 Failed 4.207 Passed 4.199 Marginal 4.210 Passed

12 fr 25. apr 14:13:40 2014 4.146 Marginal 4.156 Marginal 4.182 Marginal 4.194 Marginal 1.173 Failed 4.178 Marginal 4.177 Marginal 4.202 Passed

13 fr 25. apr 14:14:46 2014 4.076 Marginal 4.073 Marginal 4.075 Marginal <Missing> <Missing> 3.687 Failed 4.083 Marginal 4.060 Marginal 4.086 Marginal

14 fr 25. apr 14:16:03 2014 4.208 Passed 4.197 Marginal 4.179 Marginal <Missing> <Missing> 4.177 Marginal 4.182 Marginal 4.164 Marginal 4.214 Passed

15 fr 25. apr 14:16:45 2014 1.344 Failed 4.194 Marginal 4.195 Marginal 4.185 Marginal 4.195 Marginal 4.197 Marginal 4.188 Marginal 4.213 Passed

16 fr 25. apr 14:17:38 2014 4.209 Passed 4.198 Marginal 4.180 Marginal 4.190 Marginal 4.138 Marginal 4.193 Marginal 4.185 Marginal 4.213 Passed

17 fr 25. apr 14:18:51 2014 4.210 Passed 4.208 Passed 4.197 Marginal 4.191 Marginal 4.204 Passed 4.188 Marginal 4.189 Marginal 4.207 Passed

18 fr 25. apr 14:19:44 2014 4.212 Passed 4.185 Marginal 4.171 Marginal 4.213 Passed 3.072 Failed 4.186 Marginal 4.183 Marginal 4.148 Marginal

19 fr 25. apr 14:22:01 2014 4.211 Passed 4.189 Marginal 4.193 Marginal 4.184 Marginal 3.050 Failed 4.191 Marginal 4.194 Marginal 4.180 Marginal

20 fr 25. apr 14:22:49 2014 4.210 Passed 4.193 Marginal 4.179 Marginal 4.181 Marginal 3.169 Failed 4.180 Marginal 2.681 Failed 4.177 Marginal

21 fr 25. apr 14:25:22 2014 4.212 Passed 4.171 Marginal 4.186 Marginal 4.211 Passed 4.165 Marginal 4.038 Marginal 4.162 Marginal 4.212 Passed

22 fr 25. apr 14:26:27 2014 4.128 Marginal 4.198 Passed 4.208 Passed 4.197 Marginal 4.174 Marginal 4.188 Marginal 4.202 Passed 4.182 Marginal

23 fr 25. apr 14:27:35 2014 1.504 Failed 4.209 Marginal 2.564 Failed 4.204 Passed 1.634 Failed 4.156 Marginal 4.181 Marginal 4.210 Passed

24 fr 25. apr 14:28:45 2014 4.192 Marginal 4.190 Passed 4.212 Passed 4.186 Marginal 4.175 Marginal 4.052 Marginal 2.611 Failed 4.206 Passed

25 fr 25. apr 14:29:42 2014 1.045 Failed 4.212 Passed 4.210 Passed 1.010 Failed 3.855 Failed 4.202 Passed 4.203 Passed 3.842 Failed

26 fr 25. apr 14:30:49 2014 1.633 Failed 4.212 Passed 4.212 Passed <Missing> <Missing> 4.190 Marginal 4.211 Passed 4.200 Passed 4.137 Marginal

27 fr 25. apr 14:32:25 2014 4.212 Passed 4.212 Passed 4.208 Passed <Missing> <Missing> 3.620 Failed 4.205 Passed 4.179 Marginal 4.183 Marginal

28 fr 25. apr 14:37:15 2014 4.212 Passed 4.212 Passed 4.204 Passed 4.203 Passed 2.671 Failed 4.192 Marginal 4.183 Marginal 4.197 Marginal

29 fr 25. apr 14:39:59 2014 4.206 Passed 4.111 Marginal 2.219 Failed <Missing> <Missing> 2.337 Failed 3.614 Failed 4.146 Marginal 4.160 Marginal

30 fr 25. apr 14:44:02 2014 4.209 Passed 4.213 Passed 4.124 Marginal 3.151 Failed 1.025 Failed 3.564 Failed 4.167 Marginal 4.201 Passed

31 fr 25. apr 14:44:46 2014 4.212 Passed 4.193 Marginal 4.182 Marginal 4.177 Marginal 4.145 Marginal 4.188 Marginal 4.175 Marginal 4.183 Marginal



34 fr 25. apr 14:48:22 2014 4.209 Passed 4.210 Passed 4.189 Marginal 3.934 Failed 4.209 Passed 4.199 Marginal 4.165 Marginal 4.178 Marginal

35 fr 25. apr 14:49:15 2014 4.212 Passed 4.212 Passed 3.019 Failed 1.697 Failed 3.107 Failed 4.210 Passed 3.787 Failed 4.196 Marginal

36 fr 25. apr 14:50:54 2014 2.188 Failed 4.201 Passed 4.184 Marginal 4.181 Marginal 4.211 Passed 4.201 Passed 4.198 Marginal 4.193 Marginal

37 fr 25. apr 14:53:32 2014 4.187 Marginal 4.191 Marginal 4.196 Marginal <Missing> <Missing> 1.000 Failed 4.211 Passed 4.207 Passed 4.209 Passed

Failure 24.3 % 5.4 % 13.5 % 13.3 % 62.3 % 13.5 % 8.6 % 13.5 %

4

Downstream Voice MOS

MP Datum/Tid SAM GS2 SAM GS5 SAM GS4 SAM GS4 active iPhone 5 iPad Air1 iPad Air2 HP Laptop

1 fr 25. apr 14:00:49 2014 4.164 Marginal 4.209 Passed 4.207 Passed <Missing> <Missing> 3.000 Failed 4.143 Marginal <Missing> <Missing> 4.211 Passed

2 fr 25. apr 14:01:45 2014 4.209 Passed 4.209 Passed 4.213 Passed 4.213 Passed 1.993 Failed 4.210 Passed 4.207 Passed 4.211 Passed

3 fr 25. apr 14:03:15 2014 4.205 Passed 4.209 Passed 4.209 Passed 4.208 Passed 2.705 Failed 4.196 Marginal 4.208 Passed 4.210 Passed

4 fr 25. apr 14:04:00 2014 4.158 Marginal 4.021 Marginal 4.142 Marginal 4.080 Marginal 2.270 Failed 4.117 Marginal 4.199 Marginal 3.726 Failed

5 fr 25. apr 14:05:09 2014 4.191 Marginal 4.208 Passed 4.212 Passed <Missing> <Missing> 4.152 Marginal 4.209 Passed <Missing> <Missing> 4.200 Marginal

6 fr 25. apr 14:08:16 2014 3.876 Failed 4.164 Marginal 4.163 Marginal 4.142 Marginal 2.102 Failed 4.166 Marginal 4.213 Passed 1.589 Failed

7 fr 25. apr 14:09:03 2014 1.724 Failed 2.782 Failed 2.235 Failed 4.217 Passed 1.573 Failed 4.180 Marginal 4.213 Passed 4.159 Marginal

8 fr 25. apr 14:09:47 2014 2.230 Failed 1.187 Failed 4.221 Passed 4.206 Passed 2.829 Failed 3.809 Failed 4.213 Passed 2.710 Failed

9 fr 25. apr 14:10:32 2014 2.156 Failed 4.114 Marginal 2.722 Failed 4.055 Marginal 3.711 Failed 3.954 Failed 4.212 Passed 1.971 Failed

10 fr 25. apr 14:12:07 2014 4.181 Marginal 4.201 Passed 4.222 Passed 4.209 Passed 2.859 Failed 3.715 Failed 4.031 Marginal 4.199 Marginal

11 fr 25. apr 14:12:52 2014 4.206 Passed 4.207 Passed 4.209 Passed 4.205 Passed 3.711 Failed 4.205 Passed 4.197 Marginal 4.207 Passed

12 fr 25. apr 14:13:40 2014 4.157 Marginal 4.164 Marginal 4.182 Marginal 4.196 Marginal 1.941 Failed 4.178 Marginal 4.177 Marginal 4.202 Passed

13 fr 25. apr 14:14:46 2014 4.076 Marginal 4.073 Marginal 4.075 Marginal <Missing> <Missing> 3.692 Failed 4.083 Marginal 4.160 Marginal 4.086 Marginal

14 fr 25. apr 14:16:03 2014 4.208 Passed 4.197 Marginal 4.179 Marginal <Missing> <Missing> 4.177 Marginal 4.180 Marginal 4.163 Marginal 4.214 Passed

15 fr 25. apr 14:16:45 2014 1.344 Failed 4.194 Marginal 4.203 Passed 4.187 Marginal 4.195 Marginal 4.197 Marginal 4.188 Marginal 4.213 Passed

16 fr 25. apr 14:17:38 2014 4.209 Passed 4.198 Marginal 4.181 Marginal 4.193 Marginal 4.140 Marginal 4.194 Marginal 4.185 Marginal 4.213 Passed

17 fr 25. apr 14:18:51 2014 4.210 Passed 4.208 Passed 4.203 Passed 4.196 Marginal 4.205 Passed 4.188 Marginal 4.189 Marginal 4.208 Passed

18 fr 25. apr 14:19:44 2014 4.212 Passed 4.185 Marginal 4.146 Marginal 4.218 Passed 3.071 Failed 4.155 Marginal 4.182 Marginal 4.116 Marginal

19 fr 25. apr 14:22:01 2014 4.211 Passed 4.192 Marginal 4.193 Marginal 4.184 Marginal 3.105 Failed 4.191 Marginal 4.194 Marginal 4.180 Marginal

20 fr 25. apr 14:22:49 2014 4.212 Passed 4.189 Marginal 4.124 Marginal 4.106 Marginal 3.299 Failed 4.152 Marginal 2.670 Failed 4.093 Marginal

21 fr 25. apr 14:25:22 2014 4.212 Passed 4.170 Marginal 4.191 Marginal 4.212 Passed 4.166 Marginal 4.039 Marginal 4.164 Marginal 4.213 Passed

22 fr 25. apr 14:26:27 2014 4.129 Marginal 4.198 Marginal 4.218 Passed 4.197 Marginal 4.174 Marginal 4.166 Marginal 4.202 Passed 4.182 Marginal

23 fr 25. apr 14:27:35 2014 1.000 Failed 4.209 Passed 2.571 Failed 4.212 Passed 1.607 Failed 4.136 Marginal 4.181 Marginal 4.210 Passed

24 fr 25. apr 14:28:45 2014 4.193 Marginal 4.190 Marginal 4.218 Passed 4.192 Marginal 4.175 Marginal 3.986 Failed 2.611 Failed 4.206 Passed

25 fr 25. apr 14:29:42 2014 1.225 Failed 4.211 Passed 4.211 Passed 1.034 Failed 3.866 Failed 4.201 Passed 4.201 Passed 3.906 Failed

26 fr 25. apr 14:30:49 2014 1.449 Failed 4.212 Passed 4.212 Passed <Missing> <Missing> 4.190 Marginal 4.211 Passed 4.200 Passed 4.187 Marginal

27 fr 25. apr 14:32:25 2014 4.210 Passed 4.210 Passed 4.211 Passed <Missing> <Missing> 3.652 Failed 4.203 Passed 4.054 Marginal 4.145 Marginal

28 fr 25. apr 14:37:15 2014 4.211 Passed 4.211 Passed 4.203 Passed 4.204 Passed 2.748 Failed 4.141 Marginal 4.180 Marginal 4.189 Marginal

29 fr 25. apr 14:39:59 2014 4.146 Marginal 4.060 Marginal 2.219 Failed <Missing> <Missing> 2.341 Failed 3.614 Failed 4.098 Marginal 4.113 Marginal

30 fr 25. apr 14:44:02 2014 4.209 Passed 4.213 Passed 4.069 Marginal 2.930 Failed 1.589 Failed 3.288 Failed 4.132 Marginal 4.201 Passed




34 fr 25. apr 14:48:22 2014 4.212 Passed 4.211 Passed 4.129 Marginal 3.882 Failed 4.209 Passed 4.209 Passed 4.111 Marginal 4.071 Marginal

35 fr 25. apr 14:49:15 2014 4.212 Passed 4.212 Passed 2.927 Failed 1.355 Failed 3.263 Failed 4.210 Passed 3.731 Failed 4.164 Marginal

36 fr 25. apr 14:50:54 2014 2.188 Failed 4.201 Passed 4.184 Marginal 4.187 Marginal 4.211 Passed 4.201 Passed 4.198 Marginal 4.193 Marginal

37 fr 25. apr 14:53:32 2014 4.168 Marginal 4.167 Marginal 4.145 Marginal <Missing> <Missing> 1.827 Failed 4.211 Passed 4.207 Passed 4.209 Passed

Failure 24.3 % 5.4 % 13.5 % 13.33 % 62.3 % 16.2 % 8.6 % 13.5 %

5

Lync Aggregate

MP Datum/Tid SAM GS2 SAM GS5 SAM GS4 SAM GS4 active iPhone 5 Ipad Air1 iPad Air2 HP Laptop

1 fr 25. apr 14:00:49 2014 Failed Failed Failed <Missing> Failed Failed <Missing> Failed

2 fr 25. apr 14:01:45 2014 Failed Marginal Failed Failed Failed Marginal Marginal Marginal

3 fr 25. apr 14:03:15 2014 Failed Marginal Marginal Failed Failed Failed Marginal Marginal

4 fr 25. apr 14:04:00 2014 Failed Failed Failed Failed Failed Failed Failed Failed

5 fr 25. apr 14:05:09 2014 Failed Marginal Failed <Missing> Failed Marginal <Missing> Failed

6 fr 25. apr 14:08:16 2014 Failed Failed Failed Failed Failed Failed Marginal Failed

7 fr 25. apr 14:09:03 2014 Failed Failed Failed Marginal Failed Failed Failed Failed

8 fr 25. apr 14:09:47 2014 Failed Failed Marginal Failed Failed Failed Marginal Failed



11 fr 25. apr 14:12:52 2014 Failed Marginal Marginal Failed Failed Failed Failed Failed

12 fr 25. apr 14:13:40 2014 Failed Failed Marginal Failed Failed Marginal Failed Failed

13 fr 25. apr 14:14:46 2014 Marginal Failed Failed <Missing> Failed Marginal Marginal Marginal

14 fr 25. apr 14:16:03 2014 Failed Failed Failed <Missing> Failed Failed Failed Marginal


16 fr 25. apr 14:17:38 2014 Failed Failed Failed Failed Failed Failed Failed Marginal

17 fr 25. apr 14:18:51 2014 Marginal Failed Failed Failed Failed Failed Failed Failed

18 fr 25. apr 14:19:44 2014 Marginal Failed Failed Missing Failed Failed Failed Failed




22 fr 25. apr 14:26:27 2014 Failed Failed Marginal Failed Failed Failed Failed Failed

23 fr 25. apr 14:27:35 2014 Missing Marginal Failed Failed Failed Failed Failed Marginal


25 fr 25. apr 14:29:42 2014 Failed Marginal Failed Failed Failed Failed Failed Failed

26 fr 25. apr 14:30:49 2014 Failed Marginal Marginal <Missing> Failed Marginal Failed Failed

27 fr 25. apr 14:32:25 2014 Marginal Marginal Marginal <Missing> Failed Failed Failed Failed


29 fr 25. apr 14:39:59 2014 Failed Failed Failed <Missing> Failed Failed Failed Failed

30 fr 25. apr 14:44:02 2014 Marginal Marginal Failed Failed Failed Failed Failed Failed






36 fr 25. apr 14:50:54 2014 Failed Failed Failed Failed Marginal Failed Failed Failed

37 fr 25. apr 14:53:32 2014 Failed Failed Failed <Missing> Failed Marginal Failed Marginal

Failure 64.8 % 75.7 % 81 % 93.3 % 97.3 % 83.8 % 85.7 % 81 %

6



1 fr 25. apr 14:00:49 2014 0.00 % Passed 0.00 % Passed 0.00 % Passed <Missing> <Missing> 16.48 % Failed 0.00 % Passed <Missing> <Missing> 0.00 % Passed

2 fr 25. apr 14:01:45 2014 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 13.14 % Failed 0.00 % Passed 0.00 % Passed 0.00 % Passed

3 fr 25. apr 14:03:15 2014 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.31 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed

4 fr 25. apr 14:04:00 2014 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 20.11 % Failed 0.00 % Passed 0.00 % Passed 1.22 % Failed

5 fr 25. apr 14:05:09 2014 0.00 % Passed 0.00 % Passed 0.00 % Passed <Missing> <Missing> 0.00 % Passed 0.00 % Passed <Missing> <Missing> 0.00 % Passed




9 fr 25. apr 14:10:32 2014 0.37 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 4.18 % Failed 0.00 % Passed 0.00 % Passed




13 fr 25. apr 14:14:46 2014 0.00 % Passed 0.00 % Passed 0.00 % Passed <Missing> <Missing> 0.83 % Marginal 0.00 % Passed 0.00 % Passed 0.00 % Passed

14 fr 25. apr 14:16:03 2014 0.00 % Passed 0.00 % Passed 0.00 % Passed <Missing> <Missing> 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed





19 fr 25. apr 14:22:01 2014 0.00 % Passed 2.33 % Failed 0.00 % Passed 0.00 % Passed 1.89 % Failed 0.00 % Passed 0.00 % Passed 0.00 % Passed






25 fr 25. apr 14:29:42 2014 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.75 % Marginal 0.00 % Passed 0.00 % Passed 0.00 % Passed

26 fr 25. apr 14:30:49 2014 0.00 % Passed 0.00 % Passed 0.00 % Passed <Missing> <Missing> 0.00 % Passed 0.00 % Passed 0.00 % Passed 3.53 % Failed

27 fr 25. apr 14:32:25 2014 0.00 % Passed 0.00 % Passed 0.00 % Passed <Missing> <Missing> 1.50 % Failed 0.00 % Passed 0.00 % Passed 0.00 % Passed







34 fr 25. apr 14:48:22 2014 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.68 % Marginal 0.00 % Passed 0.00 % Passed



37 fr 25. apr 14:53:32 2014 0.00 % Passed 0.00 % Passed 0.00 % Passed <Missing> <Missing> 34.19 % Failed 0.00 % Passed 0.00 % Passed 0.00 % Passed

Failure 0 % 2.7 % 0 % 0 % 46 % 2.7 % 0 % 5.4 %

7



1 fr 25. apr 14:00:49 2014 2.000 packets Failed 0.000 packets Passed 0.000 packets Passed <Missing> <Missing> 43.000 packets Failed 0.000 packets Passed <Missing> <Missing> 0.000 packets Passed

2 fr 25. apr 14:01:45 2014 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 35.000 packets Failed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed

3 fr 25. apr 14:03:15 2014 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 1.000 packets Marginal 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed

4 fr 25. apr 14:04:00 2014 1.000 packets Marginal 2.000 packets Failed 4.000 packets Failed 7.000 packets Failed 41.000 packets Failed 3.000 packets Failed 0.000 packets Passed 2.000 packets Failed

5 fr 25. apr 14:05:09 2014 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed <Missing> <Missing> 0.000 packets Passed 0.000 packets Passed <Missing> <Missing> 0.000 packets Passed

6 fr 25. apr 14:08:16 2014 4.000 packets Failed 0.000 packets Passed 3.000 packets Failed 0.000 packets Passed 40.000 packets Failed 3.000 packets Failed 0.000 packets Passed 0.000 packets Passed

7 fr 25. apr 14:09:03 2014 14.000 packets Failed 127.000 packets Failed 9.000 packets Failed 0.000 packets Passed 12.000 packets Failed 1.000 packets Marginal 0.000 packets Passed 4.000 packets Failed

8 fr 25. apr 14:09:47 2014 0.000 packets Passed 105.000 packets Failed 0.000 packets Passed 0.000 packets Passed 7.000 packets Failed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed

9 fr 25. apr 14:10:32 2014 18.000 packets Failed 4.000 packets Failed 14.000 packets Failed 7.000 packets Failed 10.000 packets Failed 4.000 packets Failed 0.000 packets Passed 11.000 packets Failed

10 fr 25. apr 14:12:07 2014 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 19.000 packets Failed 24.000 packets Failed 13.000 packets Failed 1.000 packets Marginal

11 fr 25. apr 14:12:52 2014 1.000 packets Marginal 1.000 packets Marginal 1.000 packets Marginal 1.000 packets Marginal 1.000 packets Marginal 1.000 packets Marginal 1.000 packets Marginal 1.000 packets Marginal

12 fr 25. apr 14:13:40 2014 3.000 packets Failed 3.000 packets Failed 0.000 packets Passed 0.000 packets Passed 78.000 packets Failed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed

13 fr 25. apr 14:14:46 2014 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed <Missing> <Missing> 2.000 packets Failed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed

14 fr 25. apr 14:16:03 2014 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed <Missing> <Missing> 0.000 packets Passed 1.000 packets Marginal 1.000 packets Marginal 0.000 packets Passed

15 fr 25. apr 14:16:45 2014 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed

16 fr 25. apr 14:17:38 2014 0.000 packets Passed 1.000 packets Marginal 0.000 packets Passed 0.000 packets Passed 1.000 packets Marginal 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed


18 fr 25. apr 14:19:44 2014 0.000 packets Passed 0.000 packets Passed 2.000 packets Failed 0.000 packets Passed 0.000 packets Passed 4.000 packets Failed 1.000 packets Marginal 4.000 packets Failed

19 fr 25. apr 14:22:01 2014 0.000 packets Passed 4.000 packets Failed 0.000 packets Passed 0.000 packets Passed 5.000 packets Failed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed

20 fr 25. apr 14:22:49 2014 0.000 packets Passed 1.000 packets Marginal 3.000 packets Failed 10.000 packets Failed 5.000 packets Failed 3.000 packets Failed 2.000 packets Failed 6.000 packets Failed


22 fr 25. apr 14:26:27 2014 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 2.000 packets Failed 0.000 packets Passed 0.000 packets Passed

23 fr 25. apr 14:27:35 2014 <Missing> Missing 0.000 packets Passed 0.000 packets Passed 1.000 packets Marginal 3.000 packets Failed 17.000 packets Failed 0.000 packets Passed 0.000 packets Passed

24 fr 25. apr 14:28:45 2014 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 10.000 packets Failed 44.000 packets Failed 0.000 packets Passed

25 fr 25. apr 14:29:42 2014 44.000 packets Failed 1.000 packets Marginal 0.000 packets Passed 43.000 packets Failed 2.000 packets Failed 1.000 packets Marginal 1.000 packets Marginal 15.000 packets Failed

26 fr 25. apr 14:30:49 2014 4.000 packets Failed 0.000 packets Passed 0.000 packets Passed <Missing> <Missing> 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 9.000 packets Failed

27 fr 25. apr 14:32:25 2014 1.000 packets Marginal 1.000 packets Marginal 0.000 packets Passed <Missing> <Missing> 4.000 packets Failed 1.000 packets Marginal 3.000 packets Failed 2.000 packets Failed

28 fr 25. apr 14:37:15 2014 1.000 packets Marginal 1.000 packets Marginal 0.000 packets Passed 1.000 packets Marginal 10.000 packets Failed 9.000 packets Failed 1.000 packets Marginal 1.000 packets Marginal

29 fr 25. apr 14:39:59 2014 6.000 packets Failed 6.000 packets Failed 1.000 packets Marginal <Missing> <Missing> 1.000 packets Passed 1.000 packets Marginal 8.000 packets Failed 4.000 packets Failed

30 fr 25. apr 14:44:02 2014 0.000 packets Passed 0.000 packets Passed 3.000 packets Failed 5.000 packets Failed 67.000 packets Failed 7.000 packets Failed 4.000 packets Failed 0.000 packets Passed

31 fr 25. apr 14:44:46 2014 0.000 packets Passed 0.000 packets Passed 3.000 packets Failed 5.000 packets Failed 4.000 packets Failed 6.000 packets Failed 2.000 packets Failed 5.000 packets Failed

32 fr 25. apr 14:45:29 2014 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 1.000 packets Marginal 0.000 packets Passed 0.000 packets Passed

33 fr 25. apr 14:46:15 2014 0.000 packets Passed 9.000 packets Failed 1.000 packets Marginal 1.000 packets Marginal 3.000 packets Failed 0.000 packets Passed 0.000 packets Passed 8.000 packets Failed

34 fr 25. apr 14:48:22 2014 0.000 packets Passed 0.000 packets Passed 4.000 packets Failed 16.000 packets Failed 0.000 packets Passed 2.000 packets Failed 5.000 packets Failed 12.000 packets Failed

35 fr 25. apr 14:49:15 2014 0.000 packets Passed 0.000 packets Passed 5.000 packets Failed 8.000 packets Failed 20.000 packets Failed 0.000 packets Passed 2.000 packets Failed 3.000 packets Failed

36 fr 25. apr 14:50:54 2014 1.000 packets Marginal 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed

37 fr 25. apr 14:53:32 2014 3.000 packets Failed 5.000 packets Failed 5.000 packets Failed <Missing> <Missing> 36.000 packets Failed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed

Failure 24.3 % 24.3 % 29.7 % 26.6 % 83.8 % 35.1 % 25.7 % 35.1 %

8


MP Datum/Tid SAM GS2 SAM GS5 SAM GS4 SAM GS4

active iPhone 5 iPad Air1 iPad Air2 HP Laptop

1 fr 25. apr 14:00:49 2014 0.018 seconds Marginal 0.019 seconds Marginal 0.019 seconds Marginal <Missing> <Missing> 0.019 seconds Marginal 0.018 seconds Marginal <Missing> <Missing> 0.019 seconds Marginal

2 fr 25. apr 14:01:45 2014 0.020 seconds Failed 0.019 seconds Marginal 0.019 seconds Marginal 0.019 seconds Marginal 0.017 seconds Marginal 0.019 seconds Marginal 0.020 seconds Marginal 0.019 seconds Marginal

3 fr 25. apr 14:03:15 2014 0.020 seconds Marginal 0.020 seconds Marginal 0.019 seconds Marginal 0.020 seconds Marginal 0.017 seconds Marginal 0.019 seconds Marginal 0.020 seconds Marginal 0.019 seconds Marginal

4 fr 25. apr 14:04:00 2014 0.018 seconds Marginal 0.019 seconds Marginal 0.018 seconds Marginal 0.019 seconds Marginal 0.021 seconds Failed 0.019 seconds Marginal 0.018 seconds Marginal 0.019 seconds Marginal



7 fr 25. apr 14:09:03 2014 0.019 seconds Marginal 0.047 seconds Failed 0.019 seconds Marginal 0.020 seconds Marginal 0.018 seconds Marginal 0.020 seconds Failed 0.019 seconds Marginal 0.019 seconds Marginal

8 fr 25. apr 14:09:47 2014 0.018 seconds Marginal 0.799 seconds Failed 0.020 seconds Marginal 0.019 seconds Marginal 0.019 seconds Marginal 0.019 seconds Marginal 0.019 seconds Marginal 0.020 seconds Marginal





13 fr 25. apr 14:14:46 2014 0.020 seconds Marginal 0.019 seconds Marginal 0.019 seconds Marginal <Missing> <Missing> 0.019 seconds Marginal 0.019 seconds Marginal 0.020 seconds Marginal 0.019 seconds Marginal




17 fr 25. apr 14:18:51 2014 0.019 seconds Marginal 0.019 seconds Marginal 0.018 seconds Marginal 0.019 seconds Marginal 0.019 seconds Marginal 0.019 seconds Marginal 0.020 seconds Failed 0.019 seconds Marginal






23 fr 25. apr 14:27:35 2014 0.000 seconds Passed 0.019 seconds Marginal 0.019 seconds Marginal 0.019 seconds Marginal 0.019 seconds Marginal 0.019 seconds Marginal 0.019 seconds Marginal 0.020 seconds Marginal






29 fr 25. apr 14:39:59 2014 0.019 seconds Marginal 0.019 seconds Marginal 0.018 seconds Marginal <Missing> <Missing> 0.017 seconds Failed 0.019 seconds Marginal 0.019 seconds Marginal 0.019 seconds Marginal









Failure 2.7 % 5.4 % 0 % 0 % 8.1 % 2.7 % 2.8 % 0 %

9



1 fr 25. apr 14:00:49 2014 0.036 seconds Marginal 0.040 seconds Failed 0.046 seconds Failed <Missing> <Missing> 0.041 seconds Failed 0.038 seconds Marginal <Missing> <Missing> 0.041 seconds Failed

2 fr 25. apr 14:01:45 2014 0.033 seconds Marginal 0.032 seconds Marginal 0.041 seconds Failed 0.032 seconds Marginal 0.035 seconds Marginal 0.033 seconds Marginal 0.032 seconds Marginal 0.032 seconds Marginal


4 fr 25. apr 14:04:00 2014 0.039 seconds Marginal 0.286 seconds Failed 0.040 seconds Marginal 0.038 seconds Marginal 0.070 seconds Failed 0.039 seconds Marginal 0.039 seconds Marginal 0.045 seconds Failed

5 fr 25. apr 14:05:09 2014 0.035 seconds Marginal 0.035 seconds Marginal 0.054 seconds Failed <Missing> <Missing> 0.041 seconds Failed 0.032 seconds Marginal <Missing> <Missing> 0.040 seconds Marginal

6 fr 25. apr 14:08:16 2014 0.046 seconds Failed 0.044 seconds Failed 0.038 seconds Marginal 0.039 seconds Marginal 0.095 seconds Failed 0.039 seconds Marginal 0.039 seconds Marginal 0.039 seconds Marginal

7 fr 25. apr 14:09:03 2014 0.050 seconds Failed 0.821 seconds Failed 0.039 seconds Marginal 0.037 seconds Marginal 0.057 seconds Failed 0.038 seconds Marginal 0.037 seconds Marginal 0.036 seconds Marginal

8 fr 25. apr 14:09:47 2014 0.075 seconds Failed 3.314 seconds Failed 0.039 seconds Marginal 0.039 seconds Marginal 0.039 seconds Marginal 0.039 seconds Marginal 0.039 seconds Marginal 0.039 seconds Marginal

9 fr 25. apr 14:10:32 2014 0.056 seconds Failed 0.036 seconds Marginal 0.046 seconds Failed 0.037 seconds Marginal 0.040 seconds Failed 0.039 seconds Marginal 0.032 seconds Marginal 0.040 seconds Marginal

10 fr 25. apr 14:12:07 2014 0.035 seconds Marginal 0.042 seconds Failed 0.042 seconds Failed 0.035 seconds Marginal 0.039 seconds Marginal 0.036 seconds Marginal 0.037 seconds Marginal 0.043 seconds Failed

11 fr 25. apr 14:12:52 2014 0.035 seconds Marginal 0.033 seconds Marginal 0.037 seconds Marginal 0.042 seconds Failed 0.046 seconds Failed 0.045 seconds Failed 0.045 seconds Failed 0.040 seconds Failed




15 fr 25. apr 14:16:45 2014 0.049 seconds Failed 0.042 seconds Failed 0.055 seconds Failed 0.055 seconds Failed 0.048 seconds Failed 0.048 seconds Failed 0.047 seconds Failed 0.056 seconds Failed

16 fr 25. apr 14:17:38 2014 0.041 seconds Failed 0.038 seconds Marginal 0.037 seconds Marginal 0.040 seconds Marginal 0.042 seconds Failed 0.041 seconds Failed 0.040 seconds Failed 0.037 seconds Marginal

17 fr 25. apr 14:18:51 2014 0.035 seconds Marginal 0.050 seconds Failed 0.036 seconds Marginal 0.046 seconds Failed 0.036 seconds Marginal 0.034 seconds Marginal 0.042 seconds Failed 0.035 seconds Marginal






23 fr 25. apr 14:27:35 2014 <Missing> <Missing> 0.033 seconds Marginal 0.032 seconds Marginal 0.030 seconds Marginal 0.053 seconds Failed 0.033 seconds Marginal 0.030 seconds Marginal 0.032 seconds Marginal

24 fr 25. apr 14:28:45 2014 0.043 seconds Failed 0.043 seconds Failed 0.040 seconds Failed 0.042 seconds Failed 0.042 seconds Failed 0.128 seconds Failed 0.034 seconds Marginal 0.042 seconds Failed

25 fr 25. apr 14:29:42 2014 0.055 seconds Failed 0.035 seconds Marginal 0.041 seconds Failed 0.044 seconds Failed 0.034 seconds Marginal 0.038 seconds Marginal 0.038 seconds Marginal 0.034 seconds Marginal


27 fr 25. apr 14:32:25 2014 0.037 seconds Marginal 0.036 seconds Marginal 0.032 seconds Marginal <Missing> <Missing> 0.051seconds Failed 0.048 seconds Failed 0.042 seconds Failed 0.052 seconds Failed

28 fr 25. apr 14:37:15 2014 0.029 seconds Marginal 0.041 seconds Failed 0.030 seconds Marginal 0.030 seconds Marginal 0.042 seconds Failed 0.030 seconds Marginal 0.030 seconds Marginal 0.041 seconds Failed

29 fr 25. apr 14:39:59 2014 0.043 seconds Failed 0.043 seconds Failed 0.043 seconds Failed <Missing> <Missing> 0.175 seconds Failed 0.041 seconds Failed 0.038 seconds Marginal 0.043 seconds Failed

30 fr 25. apr 14:44:02 2014 0.036 seconds Marginal 0.035 seconds Marginal 0.042 seconds Failed 0.053 seconds Failed 0.119 seconds Failed 0.036 seconds Marginal 0.035 seconds Marginal 0.041 seconds Failed





35 fr 25. apr 14:49:15 2014 0.034 seconds Marginal 0.045 seconds Failed 0.048 seconds Failed 0.053 seconds Failed 0.062 seconds Failed 0.044 seconds Failed 0.062 seconds Failed 0.048 seconds Failed


37 fr 25. apr 14:53:32 2014 0.044 seconds Failed 0.029 seconds Marginal 0.033 seconds Marginal <Missing> <Missing> 0.037 seconds Marginal 0.028 seconds Marginal 0.044 seconds Failed 0.029 seconds Marginal

Failure 37.4 % 37.8 % 40.5 % 30 % 51.3 % 24.3 % 25.7 % 35.1 %

10



active iPhone 5 iPad Air1 iPad Air2

HP

Laptop

1 fr 25. apr 14:00:49 2014 2.17 % Failed 0.00 % Passed 0.00 % Passed <Missing> <Missing> 0.00 % Passed 0.00 % Passed <Missing> <Missing> 0.00 % Passed



4 fr 25. apr 14:04:00 2014 0.31 % Passed 1.83 % Failed 1.86 % Failed 6.23 % Failed 0.00 % Passed 1.25 % Failed 0.00 % Passed 0.61 % Marginal

5 fr 25. apr 14:05:09 2014 0.00 % Passed 0.00 % Passed 0.00 % Passed <Missing> <Missing> 0.00 % Passed 0.00 % Passed <Missing> <Missing> 0.00 % Passed

6 fr 25. apr 14:08:16 2014 1.42 % Failed 0.00 % Passed 1.15 % Failed 0.00 % Passed 0.00 % Passed 1.15 % Failed 0.00 % Passed 0.00 % Passed

7 fr 25. apr 14:09:03 2014 11.66 % Failed 23.06 % Failed 7.06 % Failed 0.00 % Passed 12.24 % Failed 0.75 % Marginal 0.00 % Passed 1.85 % Failed

8 fr 25. apr 14:09:47 2014 0.00 % Passed 34.85 % Failed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed

9 fr 25. apr 14:10:32 2014 10.33 % Failed 3.02 % Failed 18.05 % Failed 5.62 % Failed 7.72 % Failed 0.00 % Passed 0.00 % Passed 15.03 % Failed

10 fr 25. apr 14:12:07 2014 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 7.01 % Failed 8.71 % Failed 4.80 % Failed 0.37 % Passed

11 fr 25. apr 14:12:52 2014 0.37 % Passed 0.37 % Passed 0.74 % Marginal 0.74 % Marginal 0.36 % Passed 0.75 % Marginal 0.37 % Passed 0.75 % Marginal

12 fr 25. apr 14:13:40 2014 1.19 % Failed 1.20 % Failed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed



15 fr 25. apr 14:16:45 2014 79.70 % Failed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed



18 fr 25. apr 14:19:44 2014 0.00 % Passed 0.00 % Passed 1.41 % Failed 0.00 % Passed 1.41 % Passed 1.41 % Failed 0.35 % Passed 1.41 % Failed


20 fr 25. apr 14:22:49 2014 0.00 % Passed 1.04 % Failed 3.45 % Failed 5.17 % Failed 1.04% Failed 1.72 % Failed 1.74 % Failed 4.12 % Failed


22 fr 25. apr 14:26:27 2014 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 1.93 % Failed 0.00 % Passed 0.00 % Passed

23 fr 25. apr 14:27:35 2014 74.51 % Failed 0.00 % Passed 0.00 % Passed 0.00 % Passed 1.11 % Failed 6.39 % Failed 0.00 % Passed 0.00 % Passed

24 fr 25. apr 14:28:45 2014 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 4.68 % Failed 17.72 % Failed 0.00 % Passed

25 fr 25. apr 14:29:42 2014 34.13 % Failed 0.38 % Passed 0.00 % Passed 37.86 % Failed 0.38 % Passed 0.38 % Passed 0.38 % Passed 12.60 % Failed

26 fr 25. apr 14:30:49 2014 6.03 % Failed 0.00 % Passed 0.00 % Passed <Missing> <Missing> 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.39 % Passed

27 fr 25. apr 14:32:25 2014 0.38 % Passed 0.38 % Passed 0.00 % Passed <Missing> <Missing> 0.37 % Passed 0.37 % Passed 4.46 % Failed 2.59 % Failed

28 fr 25. apr 14:37:15 2014 0.37 % Passed 0.37 % Passed 0.00 % Passed 0.37 % Passed 0.36 % Passed 3.73 % Failed 0.36 % Passed 1.86 % Failed

29 fr 25. apr 14:39:59 2014 3.42 % Failed 6.08 % Failed 0.37 % Passed <Missing> <Missing> 0.00 % Passed 0.36 % Passed 5.22 % Failed 5.20 % Failed

30 fr 25. apr 14:44:02 2014 0.00 % Passed 0.00 % Passed 2.80 % Failed 7.32 % Failed 7.87 % Failed 11.46 % Failed 1.81 % Failed 0.00 % Passed

31 fr 25. apr 14:44:46 2014 0.00 % Passed 0.00 % Passed 2.60 % Failed 2.61 % Failed 1.88 % Failed 2.26 % Failed 0.74 % Marginal 3.76 % Failed


33 fr 25. apr 14:46:15 2014 0.00 % Passed 5.17 % Failed 0.37 % Passed 1.11 % Failed 1.85 % Failed 0.00 % Passed 0.00 % Passed 5.93 % Failed

34 fr 25. apr 14:48:22 2014 0.00 % Passed 0.00 % Passed 3.06 % Failed 8.50 % Failed 0.00 % Passed 0.00 % Passed 1.70 % Failed 7.48 % Failed

35 fr 25. apr 14:49:15 2014 0.00 % Passed 0.00 % Passed 11.45 % Failed 15.84 % Failed 0.00 % Passed 0.00 % Passed 3.65 % Failed 2.34 % Failed

36 fr 25. apr 14:50:54 2014 0.00 % Passed 36 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed

37 fr 25. apr 14:53:32 2014 2.27 % Failed 2.27 % Failed 2.28 % Failed <Missing> <Missing> 0.37 % Passed 0.00 % Passed 0.00 % Passed 0.00 % Passed

Failure 29.7 % 24.3 % 29.7 % 30 % 21.6 % 29.7 % 21.6 % 34.3 %

11




1 fr 25. apr 14:00:49 2014 2.000 packets Failed 0.000 packets Passed 0.000 packets Passed <Missing> <Missing> 0.000 packets Passed 0.000 packets Passed <Missing> <Missing> 0.000 packets Passed



4 fr 25. apr 14:04:00 2014 1.000 packets Marginal 2.000 packets Failed 4.000 packets Failed 7.000 packets Failed 0.000 packets Passed 3.000 packets Failed 0.000 packets Passed 1.000 packets Marginal

5 fr 25. apr 14:05:09 2014 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed <Missing> <Missing> 0.000 packets Passed 0.000 packets Passed <Missing> <Missing> 0.000 packets Passed

6 fr 25. apr 14:08:16 2014 4.000 packets Failed 0.000 packets Passed 3.000 packets Failed 0.000 packets Passed 0.000 packets Passed 3.000 packets Failed 0.000 packets Passed 0.000 packets Passed

7 fr 25. apr 14:09:03 2014 14.000 packets Failed 120.000 packets Failed 9.000 packets Failed 0.000 packets Passed 12.000 packets Failed 1.000 packets Marginal 0.000 packets Passed 4.000 packets Failed

8 fr 25. apr 14:09:47 2014 0.000 packets Passed 105.000 packets Failed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed

9 fr 25. apr 14:10:32 2014 18.000 packets Failed 4.000 packets Failed 14.000 packets Failed 7.000 packets Failed 10.000 packets Failed 0.000 packets Passed 0.000 packets Passed 11.000 packets Failed

10 fr 25. apr 14:12:07 2014 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 19.000 packets Failed 23.000 packets Failed 13.000 packets Failed 1.000 packets Marginal

11 fr 25. apr 14:12:52 2014 1.000 packets Marginal 1.000 packets Marginal 1.000 packets Marginal 1.000 packets Marginal 1.000 packets Marginal 1.000 packets Marginal 1.000 packets Marginal 1.000 packets Marginal

12 fr 25. apr 14:13:40 2014 3.000 packets Failed 3.000 packets Failed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed

13 fr 25. apr 14:14:46 2014 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed <Missing> <Missing> 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed

14 fr 25. apr 14:16:03 2014 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed <Missing> <Missing> 0.000 packets Passed 1.000 packets Marginal 1.000 packets Marginal 0.000 packets Passed




18 fr 25. apr 14:19:44 2014 0.000 packets Passed 0.000 packets Passed 2.000 packets Failed 0.000 packets Passed 0.000 packets Passed 4.000 packets Failed 1.000 packets Marginal 4.000 packets Failed


20 fr 25. apr 14:22:49 2014 0.000 packets Passed 1.000 packets Marginal 3.000 packets Failed 10.000 packets Failed 2.000 packets Failed 3.000 packets Failed 2.000 packets Failed 6.000 packets Failed


22 fr 25. apr 14:26:27 2014 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 2.000 packets Failed 0.000 packets Passed 0.000 packets Passed

23 fr 25. apr 14:27:35 2014 <Missing> <Missing> 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 3.000 packets Failed 17.000 packets Failed 0.000 packets Passed 0.000 packets Passed

24 fr 25. apr 14:28:45 2014 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 10.000 packets Failed 44.000 packets Failed 0.000 packets Passed

25 fr 25. apr 14:29:42 2014 44.000 packets Failed 1.000 packets Marginal 0.000 packets Passed 43.000 packets Failed 1.000 packets Marginal 1.000 packets Marginal 1.000 packets Marginal 15.000 packets Failed

26 fr 25. apr 14:30:49 2014 4.000 packets Failed 0.000 packets Passed 0.000 packets Passed <Missing> <Missing> 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed 1.000 packets Marginal

27 fr 25. apr 14:32:25 2014 1.000 packets Marginal 1.000 packets Marginal 0.000 packets Passed <Missing> <Missing> 1.000 packets Marginal 1.000 packets Marginal 3.000 packets Failed 2.000 packets Failed

28 fr 25. apr 14:37:15 2014 1.000 packets Marginal 1.000 packets Marginal 0.000 packets Passed 1.000 packets Marginal 1.000 packets Marginal 9.000 packets Failed 1.000 packets Marginal 1.000 packets Marginal

29 fr 25. apr 14:39:59 2014 6.000 packets Failed 6.000 packets Failed 1.000 packets Marginal <Missing> <Missing> 0.000 packets Passed 1.000 packets Marginal 8.000 packets Failed 4.000 packets Failed

30 fr 25. apr 14:44:02 2014 0.000 packets Passed 0.000 packets Passed 3.000 packets Failed 5.000 packets Failed 7.000 packets Failed 7.000 packets Failed 4.000 packets Failed 0.000 packets Passed

31 fr 25. apr 14:44:46 2014 0.000 packets Passed 0.000 packets Passed 3.000 packets Failed 5.000 packets Failed 4.000 packets Failed 6.000 packets Failed 2.000 packets Failed 5.000 packets Failed


33 fr 25. apr 14:46:15 2014 0.000 packets Passed 9.000 packets Failed 1.000 packets Marginal 1.000 packets Marginal 3.000 packets Failed 0.000 packets Passed 0.000 packets Passed 8.000 packets Failed

34 fr 25. apr 14:48:22 2014 0.000 packets Passed 0.000 packets Passed 4.000 packets Failed 16.000 packets Failed 0.000 packets Passed 0.000 packets Passed 5.000 packets Failed 12.000 packets Failed

35 fr 25. apr 14:49:15 2014 0.000 packets Passed 0.000 packets Passed 5.000 packets Failed 8.000 packets Failed 0.000 packets Passed 0.000 packets Passed 2.000 packets Failed 3.000 packets Failed


37 fr 25. apr 14:53:32 2014 3.000 packets Failed 5.000 packets Failed 5.000 packets Failed <Missing> <Missing> 1.000 packets Marginal 0.000 packets Passed 0.000 packets Passed 0.000 packets Passed

Failure 25 % 21.6 % 29.7 % 26.6 % 21.6 % 29.7 % 30 % 29.7 %

12







4 fr 25. apr 14:04:00 2014 0.019 seconds Marginal 0.026 seconds Failed 0.019 seconds Marginal 0.005 seconds Passed 0.016 seconds Marginal 0.010 seconds Marginal 0.004 seconds Passed 0.011 seconds Marginal



7 fr 25. apr 14:09:03 2014 0.019 seconds Marginal 0.047 seconds Failed 0.018 seconds Marginal 0.012 seconds Marginal 0.012 seconds Marginal 0.014 seconds Marginal 0.011 seconds Marginal 0.016 seconds Marginal

8 fr 25. apr 14:09:47 2014 0.018 seconds Marginal 0.800 seconds Failed 0.014 seconds Marginal 0.012 seconds Marginal 0.021 seconds Failed 0.016 seconds Marginal 0.017 seconds Marginal 0.018 seconds Marginal

9 fr 25. apr 14:10:32 2014 0.019 seconds Marginal 0.016 seconds Marginal 0.015 seconds Marginal 0.017 seconds Marginal 0.018 seconds Marginal 0.017 seconds Marginal 0.021 seconds Failed 0.018 seconds Marginal











20 fr 25. apr 14:22:49 2014 0.005 seconds Passed 0.009 seconds Marginal 0.012 seconds Marginal 0.008 seconds Marginal 0.015 seconds Marginal 0.007 seconds Marginal 0.012 seconds Marginal 0.010 seconds Marginal

21 fr 25. apr 14:25:22 2014 0.005 seconds Passed 0.019 seconds Marginal 0.011 seconds Marginal 0.003 seconds Passed 0.010 seconds Marginal 0.017 seconds Marginal 0.015 seconds Marginal 0.004 seconds Passed


23 fr 25. apr 14:27:35 2014 1.153 Tseconds Failed 0.015 seconds Marginal 0.017 seconds Marginal 0.014 seconds Marginal 0.018 seconds Marginal 0.019 seconds Marginal 0.016 seconds Marginal 0.017 seconds Marginal




27 fr 25. apr 14:32:25 2014 0.010 seconds Marginal 0.011 seconds Marginal 0.012 seconds Marginal <Missing> <Missing> 0.005 seconds Passed 0.008 seconds Marginal 0.011 seconds Marginal 0.012 seconds Marginal







34 fr 25. apr 14:48:22 2014 0.007 seconds Marginal 0.007 seconds Marginal 0.011 seconds Marginal 0.018 seconds Marginal 0.004 seconds Passed 0.004 seconds Passed 0.008 seconds Marginal 0.010 seconds Marginal

35 fr 25. apr 14:49:15 2014 0.004 seconds Passed 0.004 seconds Passed 0.017 seconds Marginal 0.017 seconds Marginal 0.014 seconds Marginal 0.004 seconds Passed 0.010 seconds Marginal 0.007 seconds Marginal



Failure 2.7 % 8.1 % 0 % 0 % 5.4 % 0 % 2.8 0 %

13


MP Datum/Tid

SAM GS2

SAM GS5

SAM GS4

SAM GS4

Active iPhone5

iPad Air1

iPad Air2

Laptop

1 fr 25. apr 14:00:49 2014 0.037 seconds Marginal 0.032 seconds Marginal 0.032 seconds Marginal <Missing> <Missing> 0.255 seconds Failed 0.082 seconds Failed <Missing> <Missing> 0.030 seconds Marginal

2 fr 25. apr 14:01:45 2014 0.033 seconds Marginal 0.032 seconds Marginal 0.040 seconds Failed 0.040 seconds Failed 0.467 seconds Failed 0.031 seconds Marginal 0.029 seconds Marginal 0.032 seconds Marginal

3 fr 25. apr 14:03:15 2014 0.036 seconds Marginal 0.034 seconds Marginal 0.037 seconds Marginal 0.046 seconds Failed 0.143 seconds Failed 0.128 seconds Failed 0.034 seconds Marginal 0.037 seconds Marginal


5 fr 25. apr 14:05:09 2014 0.035 seconds Marginal 0.032 seconds Marginal 0.039 seconds Marginal <Missing> <Missing> 0.067 seconds Failed 0.032 seconds Marginal <Missing> <Missing> 0.036 seconds Marginal

6 fr 25. apr 14:08:16 2014 0.042 seconds Failed 0.039 seconds Marginal 0.061 seconds Failed 0.218 seconds Failed 0.161 seconds Failed 0.151 seconds Failed 0.039 seconds Marginal 0.182 seconds Failed

7 fr 25. apr 14:09:03 2014 0.230 seconds Failed 0.821 seconds Failed 0.668 seconds Failed 0.036 seconds Marginal 0.164 seconds Failed 0.038 seconds Marginal 0.049 seconds Failed 0.060 seconds Failed

8 fr 25. apr 14:09:47 2014 0.225 seconds Failed 3.316 seconds Failed 0.039 seconds Marginal 0.047 seconds Failed 0.147 seconds Failed 0.405 seconds Failed 0.039 seconds Marginal 0.440 seconds Failed


10 fr 25. apr 14:12:07 2014 0.035 seconds Marginal 0.031 seconds Marginal 0.035 seconds Marginal 0.061 seconds Failed 0.0038 seconds Marginal 0.031 seconds Marginal 0.034 seconds Marginal 0.035 seconds Marginal

11 fr 25. apr 14:12:52 2014 0.032 seconds Marginal 0.031 seconds Marginal 0.036 seconds Marginal 0.046 seconds Failed 0.046 seconds Failed 0.039 seconds Marginal 0.112 seconds Failed 0.032 seconds Marginal

12 fr 25. apr 14:13:40 2014 0.036 seconds Marginal 0.050 seconds Failed 0.036 seconds Marginal 0.065 seconds Failed 0.038 seconds Marginal 0.038 seconds Marginal 0.033 seconds Marginal 0.033 seconds Marginal


14 fr 25. apr 14:16:03 2014 0.170 seconds Failed 0.035 seconds Marginal 0.034 seconds Marginal <Missing> <Missing> 0.044 seconds Failed 0.091 seconds Failed 0.244 seconds Failed 0.034 seconds Marginal

15 fr 25. apr 14:16:45 2014 0.046 seconds Failed 0.029 seconds Marginal 0.036 seconds Marginal 0.120 seconds Failed 0.037 seconds Marginal 0.037 seconds Marginal 0.029 seconds Marginal 0.037 seconds Marginal

16 fr 25. apr 14:17:38 2014 0.037 seconds Marginal 0.040 seconds Marginal 0.037 seconds Marginal 0.138 seconds Failed 0.095 seconds Marginal 0.054 seconds Failed 0.038 seconds Marginal 0.037 seconds Marginal

17 fr 25. apr 14:18:51 2014 0.036 seconds Marginal 0.036 seconds Marginal 0.042 seconds Failed 0.100 seconds Failed 0.059 seconds Marginal 0.108 seconds Failed 0.123 seconds Failed 0.031 seconds Marginal

18 fr 25. apr 14:19:44 2014 0.037 seconds Marginal 0.057 seconds Failed 0.057 seconds Failed 0.031 seconds Marginal 0.076 seconds Failed 0.041 seconds Failed 0.086 seconds Failed 0.037 seconds Marginal

19 fr 25. apr 14:22:01 2014 0.036 seconds Marginal 0.034 seconds Marginal 0.038 seconds Marginal 0.054 seconds Failed 0.075 seconds Failed 0.046 seconds Failed 0.040 seconds Marginal 0.040 seconds Marginal


21 fr 25. apr 14:25:22 2014 0.032 seconds Marginal 0.065 seconds Failed 0.053 seconds Failed 0.051 seconds Failed 0.349 seconds Failed 0.074 seconds Failed 0.075 seconds Failed 0.029 seconds Marginal


23 fr 25. apr 14:27:35 2014 <Missing> <Missing> 0.029 seconds Marginal 0.032 seconds Marginal 0.079 seconds Failed 0.038 seconds Failed 0.334 seconds Failed 0.030 seconds Marginal 0.033 seconds Marginal


25 fr 25. apr 14:29:42 2014 0.161 seconds Failed 0.034 seconds Marginal 0.033 seconds Marginal 0.302 seconds Failed 0.038 seconds Marginal 0.038 seconds Marginal 0.038 seconds Marginal 0.091 seconds Failed

26 fr 25. apr 14:30:49 2014 0.601 seconds Failed 0.030 seconds Marginal 0.035 seconds Marginal <Missing> <Missing> 0.026 seconds Marginal 0.029 seconds Marginal 0.027 seconds Marginal 0.032 seconds Marginal

27 fr 25. apr 14:32:25 2014 0.030 seconds Marginal 0.033 seconds Marginal 0.032 seconds Marginal <Missing> <Missing> 0.031 seconds Marginal 0.030 seconds Marginal 0.050 seconds Failed 0.120 seconds Failed


29 fr 25. apr 14:39:59 2014 0.032 seconds Marginal 0.142 seconds Failed 0.356 seconds Failed <Missing> <Missing> 0.178 seconds Failed 0.071 seconds Failed 0.076 seconds Failed 0.047 seconds Failed

30 fr 25. apr 14:44:02 2014 0.035 seconds Marginal 0.035 seconds Marginal 0.152 seconds Failed 0.140 seconds Failed 0.525 seconds Failed 0.199 seconds Failed 0.245 seconds Failed 0.033 seconds Marginal

31 fr 25. apr 14:44:46 2014 0.030 seconds Marginal 0.035 seconds Marginal 0.033 seconds Marginal 0.046 seconds Failed 0.038 seconds Marginal 0.033 seconds Marginal 0.039 seconds Marginal 0.035 seconds Marginal

32 fr 25. apr 14:45:29 2014 0.029 seconds Marginal 0.032 seconds Marginal 0.031 seconds Marginal 0.050 seconds Failed 0.049 seconds Failed 0.029 seconds Marginal 0.044 seconds Failed 0.032 seconds Marginal

33 fr 25. apr 14:46:15 2014 0.038 seconds Marginal 0.099 seconds Failed 0.053 seconds Failed 0.050 seconds Failed 0.039 seconds Marginal 0.104 seconds Failed 0.048 seconds Failed 0.038 seconds Marginal

34 fr 25. apr 14:48:22 2014 0.029 seconds Marginal 0.029 seconds Marginal 0.106 seconds Failed 0.074 seconds Failed 0.028 seconds Marginal 0.029 seconds Marginal 0.092 seconds Failed 0.106 seconds Failed

35 fr 25. apr 14:49:15 2014 0.031 seconds Marginal 0.029 seconds Marginal 0.437 seconds Failed 0.270 seconds Failed 0.481 seconds Failed 0.029 seconds Marginal 0.165 seconds Failed 0.030 seconds Marginal


37 fr 25. apr 14:53:32 2014 0.043 seconds Failed 0.053 seconds Failed 0.030 seconds Marginal <Missing> <Missing> 0.038 seconds Marginal 0.026 seconds Marginal 0.034 seconds Marginal 0.029 seconds Marginal

33.3 % 35.1 % 43.2 % 93.3 % 59.4 % 51.3 % 51.4 % 27 %

15


PASSED MARGINAL FAILED

SAM GS2 431 SAM GS2 541 SAM GS4 277

SAM GS5 399 Ipad air 1 533 SAM GS5 312

SAM GS4 394 Ipad air 2 496 SAM GS2 318

Laptop 372 Laptop 489 Ipad air 2 342

Ipad air 2 356 SAM GS5 485 Laptop 342

Sam GS4 active 354 SAM GS4 474 Ipad air 1 387

Ipad air 1 281 Sam GS4 active 417 Sam GS4 active 440

iPhone 5 248 iPhone 5 383 iPhone 5 571


Active iPhone5 iPad Air1 iPad Air2 Laptop

1 fr 25. apr 14:00:49 2014 0.113 seconds Failed 0.017 seconds Marginal 0.022 seconds Failed <Missing> <Missing> 0.630 seconds Failed 0.186 seconds Failed <Missing> <Missing> 0.008 seconds Passed

2 fr 25. apr 14:01:45 2014 0.020 seconds Failed 0.015 seconds Marginal 0.008 seconds Passed 0.017 seconds Marginal 1.377 seconds Failed 0.013 seconds Marginal 0.019 seconds Marginal 0.009 seconds Passed

3 fr 25. apr 14:03:15 2014 0.032 seconds Failed 0.016 seconds Marginal 0.016 seconds Marginal 0.019 seconds Marginal 0.705 seconds Failed 0.052 seconds Failed 0.017 seconds Marginal 0.013 seconds Marginal


5 fr 25. apr 14:05:09 2014 0.073 seconds Failed 0.018 seconds Marginal 0.011 seconds Marginal <Missing> <Missing> 0.170 seconds Failed 0.014 seconds Marginal <Missing> <Missing> 0.043 seconds Failed

6 fr 25. apr 14:08:16 2014 0.308 seconds Failed 0.145 seconds Failed 0.088 seconds Failed 0.195 seconds Failed 1.203 seconds Failed 0.078 seconds Failed 0.004 seconds Passed 2.477 seconds Failed

7 fr 25. apr 14:09:03 2014 1.300 seconds Failed 0.520 seconds Failed 0.925 seconds Failed 0.015 seconds Marginal 1.522 seconds Failed 0.086 seconds Failed 0.005 seconds Passed 0.066 seconds Failed

8 fr 25. apr 14:09:47 2014 1.076 seconds Failed 1.058 seconds Failed 0.006 seconds Passed 0.026 seconds Failed 0.689 seconds Failed 0.345 seconds Failed 0.005 seconds Passed 0.754 seconds Failed

9 fr 25. apr 14:10:32 2014 0.967 seconds Failed 0.072 seconds Failed 0.586 seconds Failed 0.102 seconds Failed 0.310 seconds Failed 0.286 seconds Failed 0.006 seconds Passed 0.978 seconds Failed

10 fr 25. apr 14:12:07 2014 0.108 seconds Failed 0.032 seconds Failed 0.009 seconds Passed 0.031 seconds Failed 0.662 seconds Failed 0.305 seconds Failed 0.228 seconds Failed 0.038 seconds Failed

11 fr 25. apr 14:12:52 2014 0.025 seconds Failed 0.016 seconds Marginal 0.011 seconds Marginal 0.018 seconds Marginal 0.381 seconds Failed 0.020 seconds Marginal 0.043 seconds Failed 0.012 seconds Marginal

12 fr 25. apr 14:13:40 2014 0.078 seconds Failed 0.050 seconds Failed 0.009 seconds Passed 0.028 seconds Failed 1.412 seconds Failed 0.019 seconds Marginal 0.021 seconds Failed 0.034 seconds Failed

13 fr 25. apr 14:14:46 2014 0.006 seconds Passed 0.041 seconds Failed 0.065 seconds Failed <Missing> <Missing> 0.345 seconds Failed 0.016 seconds Marginal 0.016 seconds Marginal 0.009 seconds Passed

14 fr 25. apr 14:16:03 2014 0.022 seconds Failed 0.049 seconds Failed 0.104 seconds Failed <Missing> <Missing> 0.109 seconds Failed 0.094 seconds Failed 0.146 seconds Failed 0.003 seconds Passed

15 fr 25. apr 14:16:45 2014 0.014 seconds Marginal 0.058 seconds Failed 0.055 seconds Failed 0.084 seconds Failed 0.056 seconds Failed 0.048 seconds Failed 0.074 seconds Failed 0.005 seconds Passed

16 fr 25. apr 14:17:38 2014 0.016 seconds Marginal 0.048 seconds Failed 0.102 seconds Failed 0.071 seconds Failed 0.190 seconds Failed 0.060 seconds Failed 0.083 seconds Failed 0.004 seconds Passed

17 fr 25. apr 14:18:51 2014 0.016 seconds Marginal 0.019 seconds Marginal 0.050 seconds Failed 0.064 seconds Failed 0.027 seconds Failed 0.076 seconds Failed 0.071 seconds Failed 0.020 seconds Failed

18 fr 25. apr 14:19:44 2014 0.007 seconds Passed 0.085 seconds Failed 0.126 seconds Failed 0.005 seconds Passed 0.606 seconds Failed 0.080 seconds Failed 0.089 seconds Failed 0.175 seconds Failed


20 fr 25. apr 14:22:49 2014 0.008 seconds Passed 0.058 seconds Failed 0.102 seconds Failed 0.095 seconds Failed 0.500 seconds Failed 0.093 seconds Failed 0.749 seconds Failed 0.104 seconds Failed

21 fr 25. apr 14:25:22 2014 0.011 seconds Marginal 0.126 seconds Failed 0.079 seconds Failed 0.008 seconds Passed 0.140 seconds Failed 0.1263 seconds Failed 0.153 seconds Failed 0.007 seconds Passed

22 fr 25. apr 14:26:27 2014 0.207 seconds Failed 0.047 seconds Failed 0.017 seconds Marginal 0.049 seconds Failed 0.119 seconds Failed 0.076 seconds Failed 0.035 seconds Failed 0.094 seconds Failed

23 fr 25. apr 14:27:35 2014 0.016 seconds Marginal 0.017 seconds Marginal 0.828 seconds Failed 0.028 seconds Failed 2.332 seconds Failed 0.080 seconds Failed 0.097 seconds Failed 0.012 seconds Marginal

24 fr 25. apr 14:28:45 2014 0.066 seconds Failed 0.072 seconds Failed 0.008 seconds Passed 0.081 seconds Failed 0.114 seconds Failed 0.256 seconds Failed 0.518 seconds Failed 0.024 seconds Failed

25 fr 25. apr 14:29:42 2014 2.530 seconds Failed 0.006 seconds Passed 0.012 seconds Marginal 1.840 seconds Failed 0.328 seconds Failed 0.035 seconds Failed 0.032 seconds Failed 0.149 seconds Failed

26 fr 25. apr 14:30:49 2014 2.251 seconds Failed 0.007 seconds Passed 0.008 seconds Passed <Missing> <Missing> 0.072 seconds Failed 0.010 seconds Marginal 0.041 seconds Failed 0.077 seconds Failed

27 fr 25. apr 14:32:25 2014 0.008 seconds Passed 0.009 seconds Passed 0.017 seconds Marginal <Missing> <Missing> 0.388 seconds Failed 0.025 seconds Failed 0.104 seconds Failed 0.087 seconds Failed

28 fr 25. apr 14:37:15 2014 0.010 seconds Marginal 0.009 seconds Passed 0.030 seconds Failed 0.031 seconds Failed 0.732 seconds Failed 0.064 seconds Failed 0.093 seconds Failed 0.050 seconds Failed

29 fr 25. apr 14:39:59 2014 0.025 seconds Failed 0.059 seconds Failed 1.072 seconds Failed <Missing> <Missing> 0.923 seconds Failed 0.395 seconds Failed 0.107 seconds Failed 0.069 seconds Failed

30 fr 25. apr 14:44:02 2014 0.018 seconds Marginal 0.005 seconds Passed 0.207 seconds Failed 0.553 seconds Failed 1.883 seconds Failed 0.430 seconds Failed 0.133 seconds Failed 0.035 seconds Failed




34 fr 25. apr 14:48:22 2014 0.008 seconds Passed 0.013 seconds Marginal 0.073 seconds Failed 0.307 seconds Failed 0.016 seconds Marginal 0.019 seconds Marginal 0.142 seconds Failed 0.105 seconds Failed

35 fr 25. apr 14:49:15 2014 0.008 seconds Passed 0.007 seconds Passed 0.472 seconds Failed 2.048 seconds Failed 0.489 seconds Failed 0.013 seconds Marginal 0.340 seconds Failed 0.050 seconds Failed

36 fr 25. apr 14:50:54 2014 1.085 seconds Failed 0.038 seconds Failed 0.088 seconds Failed 0.098 seconds Failed 0.010 seconds Passed 0.037 seconds Failed 0.047 seconds Failed 0.061 seconds Failed

37 fr 25. apr 14:53:32 2014 0.083 seconds Failed 0.066 seconds Failed 0.053 seconds Failed <Missing> <Missing> 1.592 seconds Failed 0.009 seconds Passed 0.021 seconds Failed 0.015 seconds Marginal

54 % 62.1% 67.6 % 80 % 94.6 % 75.6 % 80 % 70.3 %

enterprise voice simulation (evs) för mobila enheter i byod-miljö › smash › get ›...

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