IoE ( Internet of Everything ) Impact on Service Providers

Edson Celestino Customer Solutions Architect

ecelesti@cisco.com

June 25th 2015

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7.2 6.8 7.6

The Internet of Things is Already Here

Rapid Adoption rate of digital

infrastructure: 5X faster than electricity and

telephony

50 Billion “Smart Objects”

50

2010 2015 2020 0

40

30

20

10 Bill

ions

of d

evic

es

25

12.5

Inflection point

Timeline Source: Cisco IBSG, 2011

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Source: Cisco IBSG, 2011 The World Generates More Than 2 Exabytes of Data Every Day

Connected Objects Generate Big Data

46 million smart meters in the U.S alone 1.1 billion data points (.5TB) per day

10TB of data for every 30 minutes of flight With >25,000 flights per day, petabytes daily

A large offshore field produces 0.75TB of data weekly A large refinery generates 1TB of raw data per day

A single consumer packaged good manufacturing machine generates 13B data samples per day

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IoE vs IoT •  Internet of Everything: The Internet of Everything

(IoE) is the intelligent connection of people, process, data and things.

•  Internet of Things: The Internet of Things (IoT) is the network of physical objects accessed through the Internet

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In 2017 IP traffic in Mexico will reach 1.2 Eb

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Technology Trends that will change the future of the Industry

Network Simplification

Real Time Analytics

Fog Computing

Self Learning Networks

Disruptive trends Architectural trends for an optimized intelligent service delivery infrastructure

nFV DevOps

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*e.g., SDN, PCE, Plug & Play, IPv6, Segment Routing

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Simplification Via A Leaner Network

MPLS IGP BGP

LDP TE

FRR

SDH IPv6

IPv4

PIM

IPv6 SR SDN ACI

Complexity

More Less Perfect

“Use just enough complexity to facilitate service innovation and no more”

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Data Centre/Cloud

Smart Objects/Sensors

IoT and Fog Computing Architecture Data Points, Variety & Velocity, Security, Resiliency, Latency

Fog Network

Core Network

Tens of Millions to Billions Embedded Systems & Sensors

Low power, low bandwidth

Tens of Thousands to Millions Multi-Service Edge

3G/3G/LTE/WiFi/RF Mesh/PLC

Thousands Backhaul

IP/MPLS, Security, QoS, Multicast

Hundreds Data Centre/Cloud

Hosting IoT Analytics

Sensing

Control

Correlation Millsecond /seconds response

Transactional response times

KB-GB

GB-TB

TB-PB

Infinite

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Tech Radar Trends

Real-time Analytics

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Notify

Real-Time Analytics At The Network Edge (Fog)

Store

Analyse Act

Notify

Act

Store Analyse

Data Centre DC Network Edge/Fog

Traverse network for storage

Analyse possibly stale data

Non-realtime actions/actuations

Historical data Notifications

Long term analytics

Interprets interesting real-time data

Realtime actions/actuations

If data interesting transmit to cloud

Store indexed data for later retrieval

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Real-time Analytics Between The Fog and Cloud

Fog Sensors Cloud

Storage

Realtime Data

Control/Actuation

Transient

milliSec/Seconds

Months/Years

Minutes/Days/Weeks Response

Visualisation _--_- Analytics

Seconds/Minutes

Semi-Permanent

Filter to process data locally Remaining pass to cloud

_--_- Business Intelligence Dashboards KPIs

_--_- _--_- Control Loop

Fog/Edge Environment Data Centre

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Distributed Analytics

Advanced Networking

Technologies

Self Learning Networks

Model what is normal behaviour

Adapt models as normal behaviour and anomalies evolve

Recognising malicious behaviour that adapts to look “normal”

Differentiate noise from anomalies

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vCGN (via

CSR1000v)

Adaptive Security

Appliance (ASA + VSG)

Email Security (Ironport)

Web Security (Ironport)

Network Analysis Module (vNAM)

Netscaler Load

Balancer

Quantum

Policy Suite

vCPE

(CSR1000v)

vIOS Classic

OnePK SDK

IOS-XR

Virtual Route Reflector

(32bit and 64 bit)

PGW/SGW (STAR-OS)

Virtual L2

Switch (Nexus 1000v)

Virtual Forwarder

(L2 / L3 forwarder)

Load balancer

(VPP)

vDPI (vSCE)

6-4 Softwire Concentrato

(VPP)

Quantum

WAN Orchestration

VIRL

Wireless LAN

Controller

Prime Access

Registrar (RADIUS)

Prime Network

Registrar (DNS and

DHCP)

Quantum WAN

Orchestration

Prime Central

Prime Fulfillment

Prime Provisioning

Prime Security Manager

Prime Infras

Mobility Services Engine

Identity Services Engine

Wide Area Application Services (vWaaS)

Deep Packet Inspection

(CRS1000v)

vBNG (CSR1000v)

Ipsec Gateway

(CRS1000v)

SGSN/ GGSN

(STAR-OS)

vSecGW (ASR9000)

eWAG/ ePDG

(STAR-OS)

MME (STAR-OS)

eWAG/ePDG (STAR-OS)

MME

(STAR-OS)

CDN

User Plane Appliances

Control Plane Simulation & Test

Network Control

Routing / Switching / Gateways

OSS/BSS SP Apps

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Management

Business outcome

Software Dev

Engineering

Operations

Cisco /dev/innovate Pod Tested on simulated environment Deployment

Acknowledgement to Akshat Sharma for the concept

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/dev/innovate Cisco innovation acceleration program

Bridging the gap between innovation and production

Comprehensive hardware, software, solutions POD

Includes technical, BDM & community support Security Video

Self Learning Networks IoT

Big Data & Analytics Virtualisation

Collaboration

Cisco Software

Open Source

Customer Apps

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How Cisco is aligned with this major trends

Network Simplification

Real Time Analytics

Fog Computing

Self Learning Networks nFV DevOps

•  Peering Distribution

•  Segment Routing

•  BW Increase

•  Open Architecture for stats gathering (Mate)

•  Video and Web Caching

•  Services distribution

•  VDS IS/TC

•  Orchestration and Automation (WAE)

•  SDN Capable platforms

•  Full Portfolio (CSR, vIOS-XR, vFW, VDS IS, VDS TC)

•  Innovation POD

•  VIRL

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§  Simplify network: reduce the control plane protocol §  Increase capacity is a must (links, Routers and Optical)

§  Distribute and increase national peering points

§  Define a caching strategy (for free or sell service?)

§  Distribute services and evaluate Virtualized options (Cache, DNS, etc.)

§  Deploy a tool to understand better traffic patterns

§  Deploy tool for capacity planning (upgrade specific points of the infrastructure in a timely manner)

Summary