future internet: managing innovation and testbed
TRANSCRIPT
Nov. 2014Shinji Shimojo
NICT/Osaka U, JAPANhttp://sites.google.com/site/sshimojo/talks
Future Internet: Managing Innovation and Testbed
Topics
• Innovator’s dilemma and Internet evolution
• SDN and other future internet technology
• SDN testbed: JGN-X
• Impact of FI technology on IoT
Innovators’ DilemmaPerformance
time
Market need
テDisruptive technology
Current technology
PC
Mini computer
Apple I
VAX
http://ja.wikipedia.org/wiki/VAX
1977
http://h50146.www5.hp.com/products/software/oe/openvms/history/vaxvms20/app_b.html
PDP11
1970
http://ja.wikipedia.org/wiki/PDP-11
WS
1982
Apple II
Macintosh
http://dailynewsagency.com/2011/10/14/apple_an_evolution_in_photos/
Clayton Christensen
A danger of Marginal thinking
Innovation happens from emergent strategy not from planned strategy
Innovation happens as a cheap and unsophisticated product but accepted by
non-consumer
Technology trend in communicationperformance
time
Market needs
Disruptive technology
Current technology
Manual Switching
Electric Switching
ATM
NGN
Internet
Voip
Streaming
Evolution to Future Internet
SDN
Future Internet Technology
CCNEthernet
100G
1G10G
CloudVirtualization
performance
time
Market needs
Disruptive technology
Current technology
NFV
• Network Virtualization
• Programability on Network
• Network Function Virtualization
New Generation Network Technology
• ID/Locator Separation
• Contents Centered Network
• In Network Processing Optical Networking
• Wireless Networking
SDN=Software Defined Network
Software Defined Network
ControlPlane
Software Defined Network
ControlPlane
Software Defined Network
• Openflow
• OnePK, etc
• opendaylight
CcontrolControl
controlControlPlane
Why is SDN a disruptive technology ?
software defined network
OpenFlow/SDN course for managers Kyle Forster
SDN makes network design easy
• SDN gives you
• programability of network design
• central control/management of all network device
• network virtualization and network function virtualization
• Network Operation and configuration becomes centralized.
• Effective sharing of resources brings reduction of CAPEX&OPEX.
• Advanced network control such as
• path aggregation for maintenance
• selective use of network appliance
• dynamic path addition for scale out
How do we manage Innovation?
• Lean production applis to management of start up
• Management of start up for ever changing world
• Main feature
• Minimum Value Product (MVP),
• Feedback loop of diploy, measurement and learn
• Innovation Accounting
How do we manage Innovation?
deploy measurement learn
Experiments on Testbed
© National Institute of Information and Communications Technology
Technology Development
Product Development
Deployment and Operation
ResearchTechnology Development
Verify technologies and promote product development using Testbeds
Validating products/Educating engineers using Testbeds
Product Development
NetworkR&D cycle
Deployment and Operation
Accumulate and Share knowledge on Testbed
Research Experiment supportby Testbeds
Grand Goal: Network R&D process innovation
Innovating Network R&D process using StarBED3 & JGN-‐X
From Shinsuke MIWA’s presentation
Eiji Kawai@ON*VECTOR
Seamless Network Testbed Environmentwith StarBED
3
and JGN-‐X
18
In-‐lab.R&D
StarBED3
JGN-‐X
✓Small-‐scale environments ✓Study on small systems ✓Simulation -‐ SW emulation
✓Large-‐scale (many nodes) environments ✓Study on distributed systems ✓HW emulation
✓Large-‐scale (wide-‐area) enviroments ✓Study on real-‐world service systems ✓Real service infrastructure Users
Users
2013/2/27
100G-‐ready
JGN-X Network (on going as of Apr. 2014)Realizing multiple New Generation Network Planes on virtual JGN-X network. Also made it available to interconnect with other Testbeds.
FukuokaHiroshima
Okayama
Sendai
NICT Koganei
South Korea
USA Thailand Singapore HongKong
Bandwidth International
Wireless Testbed
Kanazawa
Kagawa
Okinawa
Nagoya
Kochi
DCNDCN
DCNDCN plane
OFOF
OFOF
OFOpenFlow plane
VN
VN
Virtual Node planeVN
VN
Optical Testbed Wireless Testbed
VLAN-based testbed network
Osaka
Iwate
Tokyo
Sapporo
100G10G
DF
VN Virtual Node
OF Openflow
DCN DCNEx
1GVirtual Storage
StarBED
Japan- USA： 10G Japan - Korea： 10G Japan – Hong Kong： 10G Hong Kong - Singapore 2.4G Singapore - Thailand： 1G
Optical Testbed
Koganei- Otemachi Otemachi～Otemachi
DCNVN
OF
VN OF
DCNVN
OF
VN
OF
OF OF OF
VN
OF
OF
VN
OF
DCNVN
OF
OF1
JGN-‐X Experiment in Snow Festival 2014
✓ 4K/8K uncompressed transmission over IP network (>36Gbps) ✓ Multipath transmission experiment of HD/4K compressed video
streaming between Sapporo-‐Okinawa over SDN testbed RISE on JGN-‐X (<1Gbps)
✓ World’s first trial of long-‐distance 8K video streaming transfer on long-‐distance IP network
Sendai10GbE
Tokyo (Otemachi)
Video tramsmitter
100G router
4K Camera
100G complianthigh precision analysis
1GbE
Osaka (Umekita, etc)
Hokkaido (Sapporo Odori Park, etc)
Okinawa (Nago city)
Fukuoka100GRouter
Video transmitter
4K monitor
Video transmitter
4K camera
HD Camera
Video transmitter
SDN SW
SDN SW
10GbE 100GbE
1GbE
100GbE10GbE1GbE
8K+4K uncompressed transmission (Tokyo-Osaka
36Gbps or more)
4K/HD compressed transmission over SDN multipath (multipoint up to 1Gbps)
<Configuration in the experiment>
8K Camera
4K Camera
8K monitor (4Kx4)8K monitor
Uncompressed 4K and 8K transmission
100G Class Transport Experiment (cont’)
More than 92Gbps
山本 成一
100G Monitoring
• To get accurate data (not to use switch monitor) – Inter Frame Gap, Order of pkt, etc
• Monitoring Unit – Optical tap
• Already Installed ** Every ** BB Link – Optical Cross Connect
• Select Input/Output – Per packet filtering device
• Filter out/ find specific packet – 5 tuple or specific pattern
• Support 100G/40G – Capture device
• Presta (Customized Linux Box w/ 10G NIC)
tap
tap
tap
Optical Cross Connect
Capture Device
Per Packet Filter
山本 成一
2013/7/9 Eiji Kawai
RISE• RISE = Research Infrastructure for large-‐Scale network Experiments
– Reorganized our OpenFlow network environment on JGN2plus as a testbed – Ver. 1.0: started to accept public users (October 2011) – Ver. 2.0: mulj-‐user model (April 2012)
• We now provide OpenFlow-‐based user-‐slices in which users can use their own controllers.
24
2013/7/9 Eiji Kawai
Architecture of RISE 3.0
RISE Physical Infrastructure (OFSs + VMs)
Logically-‐isolated user networks (VSI-‐based slices)
Avoid MAC address learning (migrate from Q-‐in-‐Q to MPLS pseudo wire)
User applicajon environments (VMs directly amached to OFNs)
User-‐defined OpenFlow Networks (Slices)
Underlay Infrastructure (MPLS pseudo wires)
Yoshihiko Kanaumi et al., “Deployment and Operajon of Wide-‐area Hybrid OpenFlow Network,” in proc. of IEEE/IFIP MANFI 2012.
25
RISE Controller
More flexible network topology by OpenFlow
Pragma ENT (Experimental Network Testbed)
Kohei Ichikawa
Data Mobility Service by SDN Technologies
Jin Tanaka
SingAREN Activity with JGN-X/RISE
In APAN34 meejng in August 2012, Zoebir Bong from SingAREN showed demonstrajon about his acjvity with RISE
• Data Backup / Recovery among 3 countries (SG/TH/JP)
• Virtual Machine resource copy / restore over OpenFlow
• Network controlled from APAN venue (Colombo / Sri Lanka) 29
OF
ThaiSARN
SingAREN
JGN-‐X
User Interface
OpenFlow Controller(Trema)
API
Database
Database
Database
SW
VM
VM
VM
SW
OF
OF
OpenFlow-‐based Network
VM resource Data backup / recovery
Shuji Ishii(JGN-‐X) Zoebir(SingAREN)
non consumer=killer apps
Sensors and IoT/WSN
Cloud
IoT World=smart X (city, home, …)
マージ・変換処理
Simulajon, Analyjcs, Predicjon
Data Acquisijon, Collecjon, Archiving
Data gathering, Feedback
Things we can do with FIT for IoT/WSN
• Versatility
• Customized network for plug and play of applications
• Flexibility
• easy to change network policy for entire network
• Easy to manage“Sensor OpenFlow: Enabling Software-Defined Wireless Sensor Networks”, Tie Luo, Hwee-Pink Tan, and Tony Q. S. Quek, IEEE Communications Letters, (Volume:16 , Issue: 11 ), Nov. 2012
more direct interaction with underlying network
Challenge for WSN/IoT apps
• privacy/security
• acceptance of technology
• versatile platform for different applications
• Agile development of practical service
• Dev/Ops
• Continuous engagement
We need research testbed for WSN/IoT
Testbed for WSN/IoT
Field trials
Field trials
Field trials
Provide facilities to verify & evaluate future IoT service technologies by the practical field trials large-‐scale real environment empowered by “state-‐of-‐the-‐art” SDN technologies
JOSE provides a Japan-‐wide open testbed, which consists of a large number of wireless sensors, SDN capabilities and distributed “CLOUD” resources. The facilities of JOSE are connected via high-‐speed network with SDN feature . JOSE will accelerate field trials of “large-‐scale smart ICT services “ essential for building future smart societies.
Smart Planet
Smart Industry
Smart Living
Smart Infrastructure
Smart Buildings
Smart Cities
Smart Agriculture
Future Smart ICT (IoT) Services
Smart Health
Overview of JOSE(Japan-wide Orchestrated Smart/Sensor Environment)
Yuuichi Teranishi
Internet
Osaka
Data segment
Internet segment
Mgmt segment
F W / IP S
Servers for data storage / access
Internet users
Camera sensors
Analysis/Processing for each sensor type
Big data archive for cross-‐domain mining
Participatory Sensors
Content
Archive data eliminating privacy information
F W / IP S
Tokyo
10Servers
Kanazawa
400Servers/4000VM
OpenFlow Switch
10Servers
Kyoto
400Servers/4000VM
Mobile sensors
Virtualized wireless access point
Environmental sensors
Multiple types of wireless sensor network
10Servers
Yokosuka
400Servers/4000VM
10Servers10Servers
VPN
G W
Store sensor data for each location
JGN-‐X / RISE
Gateway modules for each field trial
Analysis module for each field trial
Analysis module
Access point module
Sensor data
Researchers
Camera video stream
Vibration data
Vital data
User terminals
Environmental data
System overview of JOSE
Servers for data processing
Data center in Kyoto
Yuuichi Teranishi
Umekita Phase 1 Development Area Project GRAND FRONT OSAKA
Copyright (C) 2011 Knowledge Capital Management Corporation. All Rights Reserved.
Open on 26th April 2013
http://kc-i.jp/
Accumulation of Knowledge through Urban Innovation
A gateway from Osaka and Kansai to Asia and the world
Production and Distribution
Research & Development
Hanshin Port
Kansai Int’l Airport
ＫＯＢＥ
ＯＳＡＫＡ
ＫＹＯＴＯ
Directly connected to Asia and the world GRAND FRONT
OSAKA Knowledge Capital
Yume-shima Saki-shima
Bay Area
Osaka
Singapore
Japan Kansai
Area (km2)
378,000 31,000 (8%)
Population (thousands)
128,000 21,700 (17%)
GDP (trillion Yen)
483 78 (16%)
<Key Statistics>
The Potential of Osaka and Kansai
Kobe Medical
PJ
Saito Area
Kansai Science
City
Serving 2.5 million passengers daily, a new development will be born in the city centre of Osaka
Umekita 24ha(59.3ac.)
GRAND FRONT OSAKA 7ha(17.3ac.)
ＪＲ Osaka Sta.
GRAND FRONT OSAKA
7ha(17.3ac.)
Umekita 24ha(59.3ac.)
Location of the Development Area
Location Ofuka-cho,Kita-ku,Osaka City
District Area Total Site Area – approx. 24ha Phase 1 Development Area – approx. 7ha
Concept
6
Creater Researcher Business personCitizen
Combining a variety of urban functions to establish Knowledge Capital as a core facility.
Facilities in GRAND FRONT OSAKA
Knowledge Theater 『A multi-purpose theater』
approx. 380 seats Future Life Showroom 『Space to propose a future life』
approx. 21,000m2
The Lab. 『A hub for exhibition and promotion』
approx. 3,100m2
Knowledge Salon 『A membership-style
exchange salon』 approx. 1,500m2
Knowledge Offices 『Offices in a variety of types』
approx. 11,000m2
-
Knowledge Plaza 『An indoor plaza for events』
approx. 1,200m2
Convention Center 『Accommodates up to approx. 3,000 persons』
approx. 5,760m2
Knowledge Capital Zone (facilities and functions)
Interact
Gather Create
Exhibit
The World’s Best Laboratory for Everyone by Everyone. Impress with the World’s Best . Move with amazing technology. A laboratory focusing on fun – made and shared by all.
JFG Haiku Hunt
Jesus Rios
FEderated interoperable SmarT ICT services deVelopment And testing pLatforms
Levent GÜRGEN, CEA-‐LETI
Makoto ONIZUKA, Osaka University
October 16th 2014 EU-‐JP Symposium
Real-‐life testbeds, field trials -‐ Europe» Large scale experimentation in real-‐life environments: Santander, Lyon,
˃ Smart city, smart building, open data, participatory sensing
» Smaller scale, experimental platforms » Smart home, smart health, smart transport, art Art&Science
» Large scale experimentation in real-‐life environments: Osaka train station: smart city, smart building
» Smaller scale, experimental platform at Osaka and Kansai area » Smart POS, smart energy, smart health, smart transport, Osaka Osampo service(ISID)
Real-‐life testbeds, field trials -‐ Japan
Future Internetrevisited
avoid to trap on marginal thinkingnot perusing a fat pipe and
high quality
find new consumersIoT, medical service, local goverment, bigdata, mobile
Take emergent and collaborative strategy
Social ICT testbed (JOSE, JGN-X)
Focus on a Job engagement