The document discusses the future of internet technologies, particularly focusing on software-defined networks (SDN) and their disruptive potential, including the development of testbeds for research and innovation. It highlights the importance of lean production principles in managing innovation, as well as the role of testbeds like JGN-X and Starbed in facilitating R&D and real-world experimentation for various applications, including IoT and smart infrastructure. The document also emphasizes the need for collaboration and knowledge sharing in advancing future internet services and technologies.

1. Future Internet: Managing
Innovation and Testbed
Nov. 2014
Shinji Shimojo
NICT/Osaka U, JAPAN
http://sites.google.com/site/sshimojo/talks

2. Topics
• Innovator’s dilemma and Internet evolution
• SDN and other future internet technology
• SDN testbed: JGN-X
• Impact of FI technology on IoT

3. Innovators’ Dilemma
Performance
Clayton Christensen
Market need
time
Current technology
テ
Disruptive technology
VAX
PC
Mini computer
Apple II
Apple I
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
Macintosh
http://dailynewsagency.com/2011/10/14/apple_an_evolution_in_photos/

4. 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

5. Technology trend in communication
performance
Market needs
time
Current technology
Disruptive technology
Electric Switching
ATM
Manual Switching
NGN
Internet
Voip
Streaming

6. Evolution to Future Internet
100G
Current technology
Ethernet CCN
SDN
NFV
Future Internet Technology
1G
10G
Cloud
Virtualization
performance
Market needs
time
Disruptive technology

7. New Generation
Network Technology
• Network Virtualization
• Programability on Network
• Network Function Virtualization
• ID/Locator Separation
• Contents Centered Network
• In Network Processing Optical Networking
• Wireless Networking
SDN=
Software Defined Network

8. Software Defined
Network
Control
Plane

9. Software Defined
Network
Control
Plane

10. Software Defined
Network
• Openflow
• OnePK, etc
• opendaylight
C
conCtroonltrol
conCtroonltrol
Plane

11. Why is SDN a disruptive
technology ?

12. software defined network
OpenFlow/SDN course for managers
Kyle Forster

13. 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

14. How do we manage
Innovation?

15. • 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

16. How do we manage
Innovation?
deploy measurement learn
Experiments on Testbed

17. From
Shinsuke
MIWA’s
presentation
Grand
Goal:
Network
R&D
process
innovation
Research
Network
R&D
cycle
Accumulate
and
Share
knowledge
on
Testbed
©
National
Institute
of
Information
and
Communications
Technology
Technology
Development
Product
Development
Deployment
and
Operation
Technology
Development
Verify
technologies
and
promote
product
development
using
Testbeds
Validating
products/Educating
engineers
using
Testbeds
Product
Development
Deployment
and
Operation
Research Experiment
support
by
Testbeds
Innovating
Network
R&D
process
using
StarBED3
&
JGN-­‐X

18. Seamless
Network
Testbed
Environment
with
StarBED
3
and
JGN-­‐X
Eiji
Kawai@ON*VECTOR
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
Users
(wide-­‐area)
enviroments
✓Study
on
real-­‐world
service
systems
✓Real
service
infrastructure Users
2013/2/27
100G-­‐ready

19. 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.
DCN plane DCN
Fukuoka
Okayama
Hiroshima
Sendai
NICT Koganei
South
Korea
Optical Testbed
Koganei- Otemachi
Otemachi～Otemachi
Bandwidth International
USA Thailand Singapore Hong
Kong
Wireless
Testbed
Kanazawa
Kagawa
Okinawa
Nagoya
Kochi
DCN
DCN
OF
OF
OF OF
OF
OpenFlow plane
VN
VN
Virtual Node plane
VN
VN
Optical Testbed
Wireless Testbed
VLAN-based testbed network
Osaka
Iwate
Tokyo
Sapporo
100G
10G
DF
VN Virtual Node
OF Openflow
DCN DCN
Ex
1G
Virtual Storage
StarBED
Japan- USA： 10G
Japan - Korea： 10G
Japan – Hong Kong： 10G
Hong Kong - Singapore 2.4G
Singapore - Thailand： 1G
VN DCN
OF
VN OF
VN DCN
OF
VN
OF
OF OF OF
VN
OF
OF
VN
OF
VN DCN
OF
OF 1

20. JGN-­‐X
Experiment
in
Snow
Festival
2014
1GbE
10GbE
SDN SW
Video transmitter
✓ 4K/8K
4K Camera
100G router
Video
transmitter
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
Sendai
10GbE
Tokyo
(Otemachi)
Video
tramsmitter
4K Camera
100G compliant
high precision analysis
1GbE
Osaka
(Umekita,
etc)
Hokkaido
(Sapporo
Odori
Park,
etc)
Okinawa
(Nago
city)
Fukuoka
100G
Router
Video transmitter
4K monitor
4K camera
HD Camera
SDN SW
10GbE 100GbE
1GbE
100GbE
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
8K monitor (4Kx4)
8K monitor

21. Uncompressed
4K
and
8K
transmission

22. 100G
Class
Transport
Experiment
(cont’)
More
than
92Gbps
山本 成一

23. 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

24. 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.
2013/7/9 Eiji
Kawai
24

25. Architecture
of
RISE
3.0
User-­‐defined
OpenFlow
Networks
(Slices)
RISE
Physical
Infrastructure
(OFSs
+
VMs)
User
applicajon
environments
(VMs
directly
amached
to
OFNs)
Logically-­‐isolated
user
networks
(VSI-­‐based
slices)
Avoid
MAC
address
learning
(migrate
from
Q-­‐in-­‐Q
to
MPLS
pseudo
wire)
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.
2013/7/9 Eiji
Kawai
25
RISE
Controller
More
flexible
network
topology
by
OpenFlow

27. Pragma
ENT
(Experimental
Network
Testbed)
Kohei Ichikawa

28. Data Mobility Service by SDN Technologies
Jin Tanaka

29. SingAREN Activity with JGN-X/RISE
VM
resource
Data
backup
/
recovery
OF
Database
ThaiSARN
SingAREN
JGN-­‐X
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
User
Interface
OpenFlow
Controller
(Trema)
API
Database
Database
SW
VM
VM
VM
SW
OF
OF
OpenFlow-­‐based
Network
Shuji
Ishii(JGN-­‐X)
Zoebir(SingAREN)

30. non consumer=killer apps
Sensors and IoT/WSN

31. IoT World=smart X (city, home, …)
Simulajon,
AnalyCloud
jcs,
Predicjon
Data
Acquisijon,
Collecjon,
Archiving
マージ・変換処理
Data
gathering,
Feedback

32. 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

33. 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

34. Testbed for WSN/IoT

35. Overview of JOSE(Japan-wide Orchestrated Smart/Sensor Environment)
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.
Field
trials
Field
trials
Field
trials
Smart
Planet
Smart
Industry
Future
Smart
ICT
(IoT)
Services
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
Smart
Living
Smart
Infrastructure
Smart
Buildings
Smart
Cities
Smart
Agriculture
Smart
Health
Yuuichi Teranishi

36. Big
data
archive
for
cross-­‐
domain
mining
Yokosuka
400Servers/4000VM
Internet
Osaka
Mgmt
segment
Data
segment
Internet
segment
F
W
/
IP
S Servers
for
data
storage
/
access
Kanazawa
400Servers/4000VM
Internet
users
Camera
sensors
Analysis/Processing
for
each
sensor
type
Participatory
Sensors
Content
Archive
data
eliminating
privacy
information
F
W
/
IP
S
Tokyo
10Servers
OpenFlow
Switch
Kyoto
400Servers/4000VM
10Servers
Virtualized
wireless
access
point
Mobile
sensors
Environmental
sensors
Multiple
types
of
wireless
sensor
network
10Servers
10Servers 10Servers
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

37. 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/

38. The Potential of Osaka and Kansai
A gateway from Osaka and Kansai
to Asia and the world
Research & Development
Accumulation of Knowledge
through Urban Innovation
Production and Distribution
Hanshin Port
ＫＯＢＥ
Kansai Int’l Airport
ＯＳＡＫＡ
ＫＹＯＴＯ
Directly connected
to Asia and the world GRAND FRONT
OSAKA
Knowledge Capital
Bay Area
Yume-shima
Saki-shima
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>
Kobe
Medical
PJ
Saito
Area
Kansai
Science
City

39. 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

40. Concept
6
Creater Researcher
Business person
Citizen

41. Facilities in GRAND FRONT OSAKA
Combining a variety of urban functions
to establish Knowledge Capital as a core facility.

42. Knowledge Capital Zone (facilities and functions)
Gather Create
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
-
Interact
Knowledge Plaza
『An indoor plaza for events』
approx. 1,200m2
Convention Center
『Accommodates up to
approx. 3,000 persons』
approx. 5,760m2
Exhibit

43. 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.

48. JFG Haiku Hunt
Jesus Rios

50. FEderated
interoperable
SmarT
ICT
services
deVelopment
And
testing
pLatforms
Levent
GÜRGEN,
CEA-­‐LETI
Makoto
ONIZUKA,
Osaka
University
October
16th
2014
EU-­‐JP
Symposium

51. 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

52. Real-­‐life
testbeds,
field
trials
-­‐
Japan
» 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)

53. Future Internet
revisited
avoid to trap on marginal thinking not perusing a fat pipe and
high quality
find new consumers IoT, medical service, local
goverment, bigdata, mobile
Take emergent and collaborative
strategy
Social ICT testbed
(JOSE, JGN-X)
Focus on a Job engagement