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H-SW-1 H-SW-2 H-SW-3 H-SW-4 Telephones in the NGN Era: Wideband Telephones and Quasi-wideband Speech Technology Kemari: Fault Tolerant Virtual Machine Technology Business Process Optimization Support Tool “BPOST” On-line Lightning Prediction System Terminal, Software Technologies Contents What’s Hot in R&D Terminal technologies for ubiquitous services and software technologies related to solution businesses.

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H-SW-1

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Telephones in the NGN Era: Wideband Telephones and Quasi-wideband Speech Technology

Kemari: Fault Tolerant Virtual Machine Technology

Business Process Optimization Support Tool “BPOST”

On-line Lightning Prediction System

Terminal, Software Technologies

Contents

What’s Hot in R&D

Terminal technologies for ubiquitous services and software technologies related to solution businesses.

Copyright © 2009 NTT

NTT Research and Development 2009 Review of Activities

What’sHot in R&D Terminal, Software Technologies

Telephones in the NGN Era: Wideband Telephones and Quasi-wideband Speech Technology

Overview

Features

Application scenarios

We developed wideband speech codec compliant with international standards ITU-TG.711.1 and quasi-wideband speech technology. The codec enables high-quality andhigh-fidelity speech communication on IP telephones, high-functionality voice terminalsand “software phones”. The quasi-wideband speech technology that widens voicebandwidth by simulation and reproduces a received voice in high sound quality even ifthe caller uses a conventional phone. The first product of these developments—namely aNGN-compatible wideband phone called the “Hikari Clear Phone HQ-100”—went on salein February 2009. From now onwards, we plan to expand our line-up of productscompatible with this phone.

■ ITU-T G.711.1 is adopted and clear communication by speech with a realisticsensation—across a wider speech bandwidth than the conventional telephony(namely, 7 kHz compared to 3.4 kHz)—is achieved

■ Communication without the re-encoding associated with conventional telephony(G.711) is made possible

■ Bandwidth can be widened in a simulated technique and voice calls can be listened toover a wide bandwidth even in the case that the caller is using a conventional phone

■ QoS of NGNs is applied, and high-quality speech communication is attained■ Smooth migration from conventional telephone to high-quality ones is fostered

■ Communication within the family ■ A wide range of applications other than households and businesses is supposed

Next-generation network (NGN) Telephone High sound quality

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G.711.1Communication

possible with conventional telephones

(G.711)

While high quality at 7 kHz is attained by a scalable structure, communication without the re-encoding associated with G.711 is made possible.

Expandedlayer

Core layer

(G.711)

Wideband speech

3.4~7 kHz

Telephone band

~3.4 kHz

High-quality speech communication by adoption of G.711.1 and quasi-wideband speech technology

Quasi-wideband (created by telephone’s function)

Wideband telephony (G.711.1)

Frequency3.4 kHz 7 kHz

Convectional telephony

Quasi-wideband

Even when the caller uses a conventional phone, a high-frequency signal (3.4 kHz and above) is created on the receiver terminal, and wideband sound is reproduced.

NTT Cyber Space Laboratories

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Copyright © 2009 NTT

NTT Research and Development 2009 Review of Activities

What’sHot in R&D Terminal, Software Technologies

Kemari: Fault Tolerant Virtual Machine Technology

Overview

Features

Application scenarios

Kemari is a new, high-availability technology that enables applications to continue theirexecution without interruptions, even when a hardware failure occurs. Kemari continuallysynchronizes the status of virtual machines (VMs*1) running on different computers bymeans of software, letting applications to execute transparently on one computer if ahardware failure occurs on the other. Kemari is independent of application software oroperating system (OS*2), and it is applicable to various services operating on Windows*3

or Linux*4. It has been released as open-source software implemented as an extension tothe Xen*5 virtual machine monitor.

■ Hardware failures are virtualized, and applications can continue their execution withoutinterruptions

■ Modifications to application software or OS are unnecessary■ Flexible hardware configuration (e.g., one secondary computer to synchronize several

primary computers)■ Deployable with commodity PC servers

■ Server integration solutions combining high-availability and resource utilization■ Highly reliable virtual server hosting services at data centers■ Highly reliable thin client services

*1 VM: Virtual Machine*2 OS: Operating System*3 Windows is a registered trademark of Microsoft Corporation in the U.S. and other countries.*4 Linux is a registered trademark of Linus Torvalds in the U.S. and other countries.*5 Xen is a trademark of Citrix Systems, Inc. and/or one or more of its subsidiaries, and may be

registered in the U.S. Patent and Trademark Office and in other countries.

Virtualization technology Fault tolerant Open source

NTT Cyber Space Laboratories

Linux

Services continuewithout interruptions

Reliable!Services don’t stop even if

hardware failure occurs

Convenient!Independent of

application software or OS Kemari

Global-scale server farm

CPU pool Memory pool Storage poolCache poolUbiquitous virtual

resources

Execution environment

User

High-availabilityvirtual server

Windows Solaris etc

Features of Kemari

Provides reliable virtual resources quickly and flexibly

Virtualization in sense of time and space

H/W Failure

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Browser

Operations Software

Copyright © 2009 NTT

NTT Research and Development 2009 Review of Activities

What’sHot in R&D Terminal, Software Technologies

Business Process Optimization Support Tool “BPOST”

Overview

Features

Application scenarios

BPOST reconstructs and visualizes actual operation procedures (i.e., businessprocesses) based on operation logs stored on business systems in order to supportanalysis from various viewpoints. Since operation logs directly reflect actual operations,BPOST makes it possible to continuously visualize objective and exhaustive businessprocesses at low cost. As a result, we can achieve timely and appropriate improvementof business processes and considerable cost reduction.

■ Complex operations straddling multiple departments and systems can be automaticallyreconstructed from operation logs

■ Business processes can be compared (comparative viewpoint: actual process/standardprocess, interorganizations, time series)

■ Business processes can be automatically classified according to their similarity■ Causes of business-process inefficiency can be investigated from various angles by

combining business-process analysis and statistical analysis■ By formatting logs, BPOST is applicable to various business areas without reconfiguring

target systems

■ Supporting business-process re-engineering in their own businesses (intra-companyapplication)

- Consulting support for business-process re-engineering projects in client companies- Continuous measurement of improvement effects on operations and systems- Ongoing understanding of retention rate after operation systems are changed

■ Applicable to internal-control (corporate government application)

Business process re-engineering Business process management Business process visualization

NTT Access Network Service Systems Laboratories

システムOperation systems A Bシステム Cシステム

■Business-process visualization

Coordinating delivery dates

Repetition process3 orders

75 orders

■Analyzing business process (focusing on characteristic operations)

Irregular process

Standard process

13 orders62orders

75 orders

Operation logs

BPOST

Business-process analysis

0

20

40

60

80

100

January February March April

Lead

tim

e (s

)

0

10

20

30

40

50

60

70

80

90

Branch 1 Branch2 Branch 3 Branch 4 Branch 5 Branch 6

Com

plet

ed o

rder

s

Reconstructing business processes with operation logs

Clarifying business characteristics by comparing with standard process

Defining rules for formatting and implicating logs

Quantitative analysis Multifaceted analyses combining both analysis methods

Arbitrary operation systems

Registeringorders

Registering customers

Coordinating delivery dates

Registering B

Registering A

Registering C

Changing construction

dateChanging C

Fixing construction

date

Business-process analysis

Statistical analysis

Database for business analysis

Business database

Statistical analysis

Formatting log

Operation systems B

Operation systems C

Fixing construction

date

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ServiceαServiceβServiceγ

Copyright © 2009 NTT

NTT Research and Development 2009 Review of Activities

What’sHot in R&D Terminal, Software Technologies

On-line Lightning Prediction System

Overview

Features

Application scenarios

Damage due to lightning exceeds 100 billion yen per year in all of Japan, and it is a majorproblem in the maintenance of the NTT Group’s telecommunication facilities, too.Lightning is also a concern for leisure and sports activities and outdoor workers, being

one major threat to human life. This on-line lightning prediction system addresses thatrisk by providing information on lightning strikes 10 to 30 minutes in advance, thusallowing time for preparation and calm response.

■ Prediction of lightning strikes 10 to 30 minutes in advance■ Spatial resolution of 1 to 5 km (currently run with 2.5 or 5 km)■ Update by repeating the computations every 10 minutes and issue the results over the

Internet or by mobilephone■ Uniform coverage of the entire nation

■ Utilize the prediction information for call centers and deployment for facility maintenancepersonnel

■ Application and support for telecom facilities, light electrical equipment, power suppliesand factory process management and so on

■ Alarms for common customers, recreation facilities, outdoors workers, school commuters,and so on

Lightning prediction Lightning damage countermeasures Disaster information

NTT Energy and Environment Systems Laboratories

Receive weather dataweather radar data(10 minutes intervals)mesoscale GPV-data

Issue lightning predictiondata (10 minute intervals)

Thundercloud prediction

Risk estimation

On-line Lightning Prediction System

Cloud movement predictionfrom image processing

Weather radar image

Prediction 10 to 30 minutes later

Prediction of cloud movement from the two most recent images Stability of the

atmosphere

Risk estimation

Prediction of lightning strike based on many features

Prediction of lightning strikebased on statistical processing

Machinelearning

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Lightning PredictionSystem