Let [s try network virtualization! - ieice.orgnv/nvs2014/nvs2014-08-takahara.pdf · ... 2014, the latest version are released and operated ... Best OpenFlow 1.3 compliant software-based

Copyright©2014 NTT corp. All Rights Reserved.

Let’s try network virtualization!

Atsushi Takahara NTT Network Innovation Laboratories July 31st, 2014

1 Copyright©2014 NTT corp. All Rights Reserved.

Current trend

Network virtualization becomes common.

2011-2012 was the turning point.


Network Functions Virtualization (NFV)

Participants：263（prev. 257）

Affiliastion •Carrier： 77 （71） •Vendor： 175 （177） •Others： 2 （3）

US Canada

19%

Europe 27%

Japan 30%

ASIA 10%

Other 4%

Nationality


Current trend

Network virtualization and programmability in network becomes common.

2011-2012 was the turning point.

CAPX/OPEX reduction is the first and comprehensive benefit of network virtualization.

Next is to support the business development. Providing fast, collaborative and safe platform


Outline

Network virtualization and Programmability platform

APPs and VN

Video

Temporal resources

Next step

Summary


Network Virtualization


NTT Group Activity for Network Virtualization P

roje

cts

Clean Slate Program @Stanford, OpenFlow/SDN

ONF

ONRC@Stanford, Carrier Grade SDN

ETSI ISG NFV

With NEC, Fujitsu, Hitachi, U of Tokyo and NICT

VNode project (Network Virtualization Testbed development)

O3 Project

With NEC, Fujitsu, Hitachi

Funded by


In 2012, the first version of Vnode test bed (7 Vnodes, 2 NC (small version of Vnod), 5 AGW (Access Gate Way) are installed and operated.

From Oct. 2012, one NC was installed in U of Utah and begun to connect between GENI and Vnode test bed.

In June, 2014, the latest version are released and operated.

Fukuoka

Hiroshima

Okayama

Osaka

Sendai

NICT Koganei

USA

International Circuit

40Gx2

40G 40G

10G 10G

10G

Sapporo

40G 10G 1G DF

Example

10Gx2 10Gx2

10G

10G

1G

10G

Tokyo

Nagoya

Kanazawa

AGW AGW AGW

AGW

AGW

AGW

NTT Yokosuka

Tokyo Area

NICT Otemachi NICT Hakusan UTokyo

VN

VN

VN

NC

UTNC

NC

VN NC AccessGateway

VNode Network Connector

VN

VN

VN

AGW

VN

UTNC

0

1

2

3

4

5

0

5

10

15

20

25

30

35

40

20

12年

4月

5月

6月

7月

8月

9月

10月

11月

12月

20

13年

1月

2月

3月

4月

5月

6月

アカウント

申請数

スライス

(

申請)

数

利用状況推移(2012/04～2013/06) スライス数月毎スライス申請数月毎のアカウント申請数

U of Utha

VNode test bed status

Different objective networking activities are implemented in the safe platform.

Isolation, programmability are important functions.

To develop the test bed of VNodes is the goal of this project.


Lagopus: SDN/OpenFlow Software Switch

Best OpenFlow 1.3 compliant software-based switch

Ryu certification score: 920/928 (http://osrg.github.io/ryu/certification.html)

Multi tables, Group tables support

MPLS, PBB, QinQ, support

ONF standard specification support

OpenFlow Switch Specification 1.3.3

OF-CONFIG 1.1

Multiple data-plane configuration

High performance software data-plane on Intel x86 bare-metal server

Intel DPDK, Raw socket

Bare metal switch

Various management/configuration interfaces

OF-CONFIG, OVSDB, CLI

SNMP, Ethernet-OAM functionality

Modular architecture

To be released as OSS in Y2014 Q2

Apache v2 license

OpenFlow controller

OpenFlow 1.3

This research has been executed under the Commissioned Research of Ministry of Internal Affairs and Communications

The world’s highest performance SDN software switch with

1M flow entries.

To be released as OSS in Y2014 Q2.


Cloud computing

user user user

Data

App

Data

App App

App

Low latency

Distribution

Data Data

Data

Data

Data

Data

Carrier edge computing

The internet

user user user

Network

Data

App

Data

Data

Data Data

App

App

Data

App

Data

Data

Data

Data

App

App

The internet

Network

Carrier Edge Computing

Low latency cloud

processing

Offload of

processing Distributed

processing

Acceleration of cloud computing

Free to provide computation facilities in network

More benefit from network: Latency, off-loading of processing in terminal

Dr. R. Kawamura is leading the project.

地産地消 Chisan-Chishou


Video Application


Next Generation 4K/8K Video Codec for broadcasting

Super Hi-Vision WG Roadmap

2013

2014

2016

2020

World Cup

Brazil

Rio

Olympics

Tokyo

Olympics

Next-gen Broadcasting Promotion Forum(4K/8K Testbeds)

“All Japan” alliance

Technical studies

4K/8K testbeds development & validation

Broadcasting PF Businesses Broadcasters

Telecom Carriers Broadcast Equipment

Implementers

Trading Companies/

Ad agents

Content studies Publicity studies

Consumer Electronics

Implementers

4K experience environments for limited attracted consumers

8K experience environments for limited attracted consumers

Widespread 4K/8K TV experience

Validation results feedback Technologies, Operational guidelines& Knowhows

For the world’s first commercially available 4K/8K broadcasting.

Satellites, IPTV and CATV are anticipated for 4K/8K broadcasting media.

Encoder PC Card (ICCE2000)

SDTV HDTV

Portable HDTV Encoder

(ICCE2001)

SARA(’07) (HotChips19)

VASA (’02) (HotChips14)

NHK/NTT-COM Board

SARA/D (’08) (CoolChips XI)

HDTV H.264 Encoder/Decoder

MPEG-2/H.264 Transcoder

MPEG2 H.264

SuperENC (‘98) (HotChips10)

HDTV MPEG-2 Encoder/Decoder

HDTV UHDTV

H.264 HEVC

HEVC LSI for Professional(’15?)

ISIL(’02) (CICC2003)

NTT’s Codec System Solutions

High video quality utilizing sophisticated encoding algorithms with low delay and low power.


8K Live streaming from Brazil to Tokyo

SHV streaming processed by the software implemented in PC

Enabled highly reliable and high-speed IP transmission

Tokyo New York

Miami

Brasil-Japan （18000Km approx） Connected by several different routes

Seattle

Route４ Route３

Rio de Janeiro

Route ２ Route１

San Paulo

1) FireFort-LDGM: the high-efficiency FEC for IP packet loss

2) Security : the real-time encryption and decryption

features for content protection,

3) Synchronization : synchronizing multiple IP streams


NHK presenting ： 6/13～7/14 （JST）

＜Domestic PV places＞ (some places in Brazil)

① Ion Cinema Kouhoku： 9 games

② Shibaura Institute of Technology Toyosu Campus：

first 3 games

③ Grand Front Osaka： first 3 games

④ Asti Tokushima： first 3 games

＜8K Live Public Viewing Schedule＞

6/15（Sun）10:00 Japan vs Côte d'Ivoire

6/17（Tue） 7:00 Ghana vs USA

6/20（Fri） 7:00 Japan vs Greece

6/24（Tue） 5:00 Cameroon vs Brazil

6/29（Sun） 1:00 Round of 16（Brazil vs Chili）

7/ 1（Tue） 1:00 Round of 6（France vs Nigeria）

7/ 6（Sun） 1:00 Quarter Final (Argentina vs Belgium）

7/ 9（Wed） 5:00 Semi Final（Brazil vs Germany）

7/ 14（Mon） 4:00 Final（Germany vs República Argentina）

World Cup 8K Public Viewing


MMT / FireFort-LDGM Reliable high-speed IP Transmission over the World

Powerful Forward Error Correction (FEC) code for IP transmission. Lightweight processing, high probability of error correction,

tolerant of burst packet loss.

FireFort-LDGM FEC

MMT

③ High-Efficiency FEC

② Variable-length packet for IP

① Flexible multiplex of A/V/Data

④ UTC Time Stamp Media Sync.

Current MPEG Activity

MPEG Media Transport (ISO 23008) New standard of media transport to replace MPEG2-TS. Adopt FireFort-LDGM as a part of MMT/FEC. (23008-10 DIS)

Public Viewing "2014 FIFA World Cup Brazil"

Global 8K streaming trial with NHK Sci.&Tech. Research Lab. using FireFort-LDGM & MMT. Stable 360 Mbps streaming using international research & education (R&E) NWs. Shared & multi-domain NWs supported by RNP, Internet2, SINET4, RED-Clala, GEMnet2.

8K CODEC/Display sys. (NHK STRLab)

FireFort-LDGM FEC (right) with Video/IP streamer (left)

Future video applications over wide variety of low-cost instant IP-NWs. (MPLS, SDN)

Packet Loss

Stable playback under packet loss

without FireFort-LDGM

A/V Source

Extra-Large Block 10K～1M Packets

High speed correction of lost packets with sparse matrix

Corrected! Packet Lost !

FireFort LDGM Encoder

FireFort LDGM Decoder

Generate parity with sparse matrix


[Flexible distribution with global time] ・Free combination of A/V/Data to form single/multiple streams

[CI : Composition Information] ・Presentation control of multi-source media.

Timing and Position

Control to Asset/MPU Units

[Application level ＦＥＣ] ・Super high speed ・Low computation cost ・High recovery rate

MMT Functions

Live

Data

Cam.

Various NW

Audio

Voice

Video

Application

Control Sig.

Sync.

Sync.

2nd Display

Large Display

Select & Sync. Required Media


Our vision

16


４Ｋ/８Ｋ Media Services ente

rprise

m

ass

VPN

４Ｋ Camera

ODS

Concert Sports

Public Viewing

Event

Main Broadcaster

Studio

Video Cloud （Coud base workflow）

Transcoding

Contets Storage

Smart TV

Enterprise Cloud

Contents provider

４Ｋ STB

映像利用サービス

Smart TV Broadbnd and Brodcasting Collaboration

映像素材伝送サービス

Non Linear Editing

RF

IP

Broadcaster network

Contents Exchange Network

Contents Exchange

Distribution Network

IP

IP

RF

IP Virtual

NW

Virtual NW

Local Broadcaster

Broadcaster

STB Distribution

PF

Improving distribution performance

4K shooting

Contents

Broadcasting performance

High Resolution creates new APPs.

Improving reliability

4K contents creation

On Demand networking

Video Cloud for various application domains

Immparsive Video Conference

Remote Surgery

Environmental Tech

MOOC

Surveylance

Hospital, School, Socail Infrastructure


Real-time large-volume contents delivery using multiple virtual networks

A novel video transmission method over shared networks

NTT and Keio Univ. joint Vnode APP study funded by NICT

Difficulties in real-time large-volume video transmission Large bandwidth is needed at all points Data duplication is unfavorable for valuable contents

Potentials / drawbacks of the many-to-one delivery Network bandwidth can be used efficiently Redundant configuration of low-cost storage sites Data distribution enhances safety Complicated traffic engineering due to a large number of flows

Proposal Use multiple virtual networks of different configurations for traffic engineering

Traffic can be steered or dispersed naturally Do NOT manipulate numerous LSP paths or flow-table entries Packet-by-packet distribution among virtual networks Packet loss recovery and traffic volume controlling with error correction codes

⇒ Handle numerous flows efficiently and flexibly!

- Content data are splitted, distributed, and then stored in multiple storage sites

Many-to-one delivery


Research topics

Playback

× Congestion

Management layer

control

QoS info.

FEC

GW

VNode

Chunk

Slice 3

Slice selection / Slice switching

Inter-slice routing

すべてのチャンクは同一宛先を持つ

すべてのチャンクは同一宛先を持つ

Multiple slices can be used for transmitting packets

Packet losses can be recovered by FEC

（1）Slice based traffic control (NTT) Research slice controlling algorithm Combine the three basic operations

Inter-slice routing Slice switching Slice creation

Slice 2

Slice 1

・・・

（2）QoS measurement (Keio Univ.) Monitor transmission qualities Notify the management layer of them

Control

QoS info.

QoS info.

× Congestion

× Congestion （3）Redundancy coding techniques (NTT)

Uses LDGM error correction code Enhance the torelance for packet loss Dynamic adjustment of traffic volume ( Intentional packet discard)

Slice Creation

Avoid the congestion point by using a different network


Real-Time Applications for Collaborative Work Network Supported Collaborative Work

Remote Field Maintenance & Training

Real-time Remote Motion Capture Acting

Remote SciViz Big Data Collaboration

Multimedia Collaborative Performance & Competition

Remote Rehabilitation Home Care ICT

REMOte Collaboration Open Platform (REMOCOP)

o The goal is not to build one specific CSCW system or application. o We aim to design a basic foundational system which will offer a platform for any networked CSCW

system to be built upon. Enable real-time remote collaboration

Creator Live video

Work in progress(shared)

Producer’s Instruction(shared)

Real-time Collaborative Remote Video Editing


Underlying Network Technology

Future Remote Collaboration Environment Overview

Echo Canceller

Acoustics Technology

Network Virtualization

• SAGE Work Space • Adobe Premier

• Low-delay and robust video transmission

FireFort (FEC)

REMOCOP Time

Synchronization Latency

Management Application

Sharing Device

Orchestration

CSCW APPLICATIONS Sensor Technology

Smart Devices

Media Servers

Multi OS

Native Applications

Shared-Screen Management

• Cloud Power Utilization •Windows •OSX • Linux

• Andriod • iPhone • FitBit

• Kinect • Leap •OpenCV

4K JPEG 2000 Codec

De

sign

Scop

e

Develo

per

Scop

e Estab

lished

4K Cameras/ Projectors

Real-time System

Visualization Multi-OS

Integration Media/Data

Sharing Data Request Management

• LDGM-based high-performance FEC for IP Network

Simple API

http://www.xbox.com/ja-JP/xbox360/accessories/kinect


VN for Video

What do they need? Production Project basis budget Virtual studio (Resource sharing platform) Huge scale of Data Storage Processing power

E.x. Transcoding for Chinema, TV, streamaing, DVD, airlines, …

Collaboration More resolution for not reality but understanding deeply

Seeing micro behavior of people Getting more than the real view with virtual view Helping deeper understanding Managed meeting (discussion)


Temporary Resrouces


Outline

Network virtualization and Programmability platform

APPs and

Video

Temporal resources

Personal

Next step


MDRU

R&D project of MDRU

An R&D project was launched in March 2012 with a support of the Ministry of Internal Affairs and Communications of Japan.

NTT Network Innovation Labs., NTT Communications, Fujitsu and Tohoku University funded by MIC

The goal of the project Prototyping of a movable and deployable ICT resource unit (MDRU)and modular network of MDRUs to cover wide area

Use cases for providing communication methods fast and flexible by MDRU

Proof of concept trials

Modular

Network

MDRU :Movable and Deployable ICT Resource Unit


Servers

The slice for VoIP network

The slice for a company A

The slice for the local government

VoIP

PBX Mail

Applicat

ions

Virtualized Intra-Unit Network

DB DB

Storage

Manag

er

Network Equipment for WAN Network Equipment for LAN

Access Control for WAN Access Control for LAN

Wi-Fi

To WAN If possible

To terminals

MDRU accommodates equipments needed both to supply ICT services locally

and to act as a remote station of the remained ICT infrastructure.

Inside of MDRU

27 Copyright©2014 NTT corp. All Rights Reserved. Mobility, Extensibility, and Flexibility less more

MDRU’s

Capacity

/ R

obust

ness

Small

Large

Resource Unit (2012)

Medium-size ICT Unit (2012)

Miniaturized ICT Unit (2013)

Modularized ICT Unit (2013-)

Minimization of unit size

Increase of capacity, coverage and robustness by networking MDRUs

Optimizing unit size according to required functions and environmental condition Modularity and networking provide the flexible system configuration.

Roadmap of MDRU

Atachee caset


VN for temporal resources

Shortage resources in a disaster case In usual situation, unexpected increase of the traffic demand

is the same situation.

Resource sharing because of the shortage of the resources

A single function is not sufficient because of changing the demanded services in each period of the recovery process.

Networking is also changed. Simplify the operation procedure for quick start and no

professionals SDN based rescue scenario is helpful for the quick set-up.


Personal ICT -- Research Topics

Personal Data

Environmental Data

Behavioral Data

Status

Behavioral log, Location, Information from circumstances

Research Item 1 Research Item 2

Privacy Protection Issues Utilization of Personal Data

- Safe Personal Data Storage

- Information anonymizing

- Personal Data management agent

- Personal Data distribution platform

- Opt-in system

- Services and Applications for

enhancing individuals’

‘Quality of Life’

solving social problems

ex. Assist daily life …

Crowd Behavior Control and Optimization


Next consideration

Data Center

Terminal

Network

Network & Devices

Operational devices are welcome to network!

Functions implemented in Cloud, Smart phone, Wearable devices

A huge number of devices are connected.

How can we manage and operate these connected things?


The results of the experience with existing system and Proof of concept should be archived and shared among the related activities.

The center of the activities are needed and such activities in regions should be networked.

In Japan, the center of gathering the knowledge, technologies and people for resilient ICT R&D is required.

This center is also acting as the contact point for similar activities in other regions.

Resilient ICT Innovation HUB

R&D Activities Implementation in Society Problem definition Requirements

＋

Test bed

The center for resilent ICT R&D

Knowledge DB Outcome

Solutions

R&D Activity A

R&D activity Ｂ

R&D Activity C

Example : Eco-system for resiliency


Summary

Network virtualization can be supported in many systems.

Now is the time for trying and finding the way of using network virtualization.

Filling the gap between current platform and APPs

Ecosystem

Testbed is the bridge in any people.


NTT Network Innovation Laboratories

Thank you for you kind attention.

Documents

Let [s try network virtualization! - ieice.orgnv/nvs2014/nvs2014-08-takahara.pdf · ... 2014, the latest version are released and operated ... Best OpenFlow 1.3 compliant software-based