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Smart Community Informatics
Prof. of Keio University
Chair person of Misono Town Management Consortium
President of Omotenashi ICT Consortium
Director of Edge Platform Consortium
Hiroaki Nishi
(15-20mins)
Smart City/Community
2
Communication
Agriculture
Water and
Sewerage
Gas
Electric Power
Next-Generation Internet
Smart Grid
Water Infrastructure Field Server
Sensor Network
Electronic administrationElectronic Health Record
Transportation
Smart Energy
ITS
Architecture
Datacenter
Weather
Structure Health Monitoring
ICT Infrastructure
Common API
Service-oriented Platform
Environmental
Business
Broker
Aggregator
Data Mining
Recommendation
Medical Services
Administrative
Authorities
Hierarchy of Network and Application
2
Amount of Data
Anonymity
Calculation Cost
Computing Platform
Allowable
Processing Delay
Target Area WideNarrow Building
<100m
Town
<10km
City
<100km
Worldwide
Short LongPower System Stabilization
Auto drive Collision Avoidance
<10ms
Facility Control
<1s Dynamic Pricing
<30min
BigSmall Embedded
Microcontroller
Server Cluster
Datacenter
StrongWeak
Fine-grain data Coarse-grain data
BigSmall
Plain
Strong Anonymization
Weak Anonymization
<KB <MB >GB
CloudEdge / FogHome
Gateway
IoT Devices
Small Terminal
Sensors
Scale Image of Smart City Services
HVAC
control
Disaster Alert
Aggregation
Recommendation
Facility
control
In-system
control
Information
display
Electric fare rateGrid control
Electricity
exchange
RFID
Authentication
Security Remote Control
CDN
ITS
EV Lane
EV Quick Charger
HEMS/BEMS
Interaction
Traffic Signal
Control
Automated
Parking
Motor / Battery Control
Automated
Drive
Traffic Collision Avoidance
Privacy preserving Anonymization
Behavior
analysis Community currency
Robot control Healthcare
Marketing
Individual Area Home Area Town Area
City Area
High-value and highly
functionally services on Cloud or
wide area network
Immediate Services on
local aggregated
network
Classified services using
LAN/PAN for person, house,
and building
Device Area
CloudEdge / FogHEMS
BEMS
IoT Devices
Small Terminal
Sensors
Flexibility in Providing Services
5
CloudEdge / FogHEMS
BEMS
IoT Devices
Small Terminal
Sensors
 How to change the service location?
 IoT devices have to change the destination IP address from the Cloud to new Edge.
 Powerless IoT devices should avoid installing new functions from the point of
compatibility.
 How to migrate the service process? CloudEdge / FogHome
Gateway
IoT Devices
Small Terminal
Sensors
Why the information infrastructure has to be changed for
achieving smart city services?
 Saitama City government complains...
 Citizen’s cyber security
 Future taxing (Gus, EV power, Network purchasing)
 Lie in the idea, “Smart grid service on Cloud”
 It is difficult to provide ancillary services
 Lie in proving “Edge computing”
 This is a clean slate attempt.
 Solve these problems by using SoR
 Enhance the Internet to Smart city/community Infrastructure
that cannot be achieved only by using Fog/Edge/FIWARE...
Technological Solution
7
CloudEdge / FogHome
Gateway
IoT Devices
Small Terminal
Sensors
 ASCA (Authorized Stream Contents Analysis) to analyze reconstructed TCP steam
 Authorized application programs on gateway, switch, or router share SSL key with Cloud.
 ASCA achieves SSL, gzip, chunk decode of +2 million TCP streams in parallel.
 Uses REGEX rules to obtain target information
 20Gbps throughput by using hardware accelerators of DPDK, Intel QAT, and HyperScan
 ASCA API provides Zero-copy communication on Docker
 All communication nodes can provide services when application programs are deployed.
 It does not need any change of terminal configuration and use of new protocol.
What is IP independent? Why difficult?
 When achieving L7 (TCP stream) analysis
 It is easy to analyze packets not stream.
 Analysis of the stream including the border of packets.
 Almost 200,000 streams are flowing in a line at a time of a provider
 Is it reared to reconstruct all streams at a router?
 It exhausts memories on a router
 The size of a steam sometimes exceeds tera bytes.
 There are many tasks, such as Decryption, Decompressing, Chunk
decoding, Query
8
A1
B1
C1
D1
A2
B2
C2
D2
A3
B3
D3 D4
A1 B1 C1 D1 A2B2 C2D2 A3B3 D3 D4
Context switch for reconstruction
 Performance
 Though it depends on queries and the expire time, it supports up to
20Gbps physical line and million streams.
 Partially adaptable to TCP retransmission and packet modification
9
 Xeon Phi
 Appropriate to the independent stream
processing
 DPDK
 Userland network API
 Supported NIC is required
 Intel QAT
 Hardware accelerator and software library
of RSA, DH, Asymmetric encryption, Hash,
Compress, Decompress
 Intel HyperScan
 REGEX-based stream matching and
extraction library using STTNI of SSE4.2
 Allocating specific stream processes to
dedicated cores for efficient stream
processing
10
Applications supposing in 2010
 Preventing IoT devices and small terminals from intrusions
by using networks itself
 Surveillance of suspicious-looking accesses for proactive
 Find and remove phishing attacks by using networks
11
Applications supposing in 2010
 Providing new services, such as recommendation of nudge,
based on user behaviors
 Solve the problem of privacy revealing and enhances the
service availability by removing privacy information
 Solve the problem of process concentration caused by the
smart city services, such as smart grid, EV autodrive
12
<8ms scuttle access>1s shuttle access
Applications supporting in 2020
 Communication trasability
 Load balancing by using L7 information and machine
learning
 CDN management by using network devices (routers)
13
SoR+OMDB+Jubatus
Hop-by-hop Encryption+TracabilityCA
First implementation using softwares
 Implement functions on commercial routers by
collaborating with AlaxalA and Juniper
 AlaxalA Service Module Card (SMC). Juniper JunOSV AppEngine
 DPDK enables 5Gbps when using software
 System cost was reduced to 1/5
 Easy to extend functions
 License free
 Intel HyperScan
 Intel QAT
14
15
16
μSoR (11.5 x 11.5 x 5cm)
Small size but has full functions
of SoR
SoR (2U LED panels
showing system status)
アクセスランキング
User classification using keywords
Visualization of user attention
Word cloud
Booth exhibition (Core loads and memory usage) Students are explaining about our projects
UDCMi
 Smart City / Town Project
@Saitama City
 320ha around Urawamisono Station
 Planed population 30,000 (7,000)
 Urban Design Center Misono
 Center for smart town services
 Members
 Saitama City
 Keio Univ., Kougakuin Univ., Shibaura Tech Univ., Tokyo Denki Univ.
 AEON Retaling Group, Softbank, Tokyo Gus, IBM Japan, Felica
Pocket Marcketing, Tanita, Panasonic, Mitsubishi
Local house building companies, Local banks
(32 companies and organizations)
18
Keio Univ.UDCMi Edge Server
HGW
Smart house with Home energy
management system
EMS (TOSHIBA)
EMS (Panasonic)
Residential Area
BLE
BLE positioning system
Town Area
Distributed PV management
e-money card (AECON) Health information (TANITA)
Smart Meter
Reader (IIJ)
Smart Meter
Providing new Smart City services
 UDCMi system provides flexible application program execution
environment.
 Supports on-the-fly anonymization
 Encapsulation of private information
 Dynamic service application migration at local/edge,fog/cloud.
 Considering the trade-off between service requirements and
platform constraints
 Relationship management (service venders and users)
Bicycle
(AEON)
Pet
(AEON) Traffic collision
avoidance
(HONDA)
watching children
go to school
UDCMi Services
Commercial Area
Town security (SECOM)
19
BLE Positioning Service
20
Target Area
BEL Antennas (BLE Spot)
21
 140 BLE Spots are
implemented in the target area
 Expected resolution is about
10m error
 Ready for 2 years without any
battery charge or change
 Internet communication is not
necessary
Health Monitoring Service
22
Activity meter
powered by
e-money card
e-money card
with medical
records
Temp., Humid., Illumi.
sensor
IrDA signal
Receiver/transmitter
Indoor globe temp. Sensor
LED indicator
Floor, windows temp. seonsor
Smart Meter Reader
iPad
BLE Beacon
Outdoor environment
PM2.5 sensor
HEMS Monitor
Carbon dioxide sensor
Home Energy management System
23
Smart Community Information Platform
24
CloudEdge / FogHome
Gateway
IoT Devices
Small Terminal
Sensors
Smart Meter
Service Application
ASCA
Anonymization
Watermark Printing
Use of Cloud Service
Service Migration to Fog
No protocol
No need to
change Dest IP
ASCA ASCA
Trend Toward Urbanization
• Half of the world population is living in cities in 2013
• Half of the population of Asia will be living in cities by 2020
• Population in cities is expected to grow from 3.6 Billion to 6.3 Billion by 2050
Housing PollutionTraffic
Water
& Energy
Health
& Wellbeing Crime
Services to solve urbanization problems
 New PCDA Cycle for improving Quality of Life
Community
Big Data
Community
Massive
data
Providing
Services
Community
Sensing
Action by
Residents/
System
Operation
New community
Data sensing
Smart Community / City
Service Platform
Feedback for
improving QoL
IoT
M2M New
Hardware
Devices
Machine
Learning
Data Mining
Incentives
Open API
xEMS
ASCA
Sensors
Localizing and
personalizing services
26
Terminal
Smart Phone
Signage
Visualization/
System
Control
Standardization Activities
 IEEE-SA Smart Grid Vision Project
 Published Smart Grid Vision Project member, Vision Document, Webiner
 IEEE P2413 IoT Architecture/Frameworks
 Participated, Deliverable of IoT Service considering Network Hierarchy
 IEEE P21451-1-6 (PAR: Project Authorization Request submitted)
 Chair, Control application of MQTT
 IEEE P1451-99 Sensors and actuators in IoT
 Establishing Member
 IEEE P1451.0 Smart Interface for sensor and actuators, Common functions
 Member, From the activity of 1451-99
 IEEE P2668 (IDEX)
 Establishing Member, KPI of IoT Services
 ITU-T Focus Group Smart Sustainable Cities
 Leader, published deliverables of information transaction infrastructure
 Urban Technology Alliance:Establishing member, Smart city applications
 Edge Platform Consortium:Director, Fog/Edge for smart city services
27
28
Nagasaki
EV&ITS
29
 53Km, the longest undersea AC electric
power cable in Japan
Tsushima
Iki
Main land
Goto
Nagasaki City
20km
Kyusyu
Nagasaki
Goto City
Shin Kami Goto Town
 Wind turbine generates over 20% of total
electricity of the island.
 Fukue islands
– Population: 67,046
– Area: 634.78 km2
Wind turbine
on the ocean
Consortium Members
Toyota Koyanagi Jidosha Seibi Kojo Itochu Enex Fukuoka Denso Shin Kami-Goto town
Nissan SAIHI Information Service Internet Initiative Japan Inc. FUJIFILM IMAGETEC
Subaru Sasebo Heavy Industries NTT Data FUJIKEN
Mitsubishi Motors Satoh Co.,Ltd NTT Data Customer Service Fukken Co.,Ltd. Ministry of Economy,Trade and Industry
G.S.Eletech.Kyushu NTT FACILITIES Mitsui & Co.,Ltd. Ministry of Land, Infrastructure, Transport and Tourism
SEA ALL Oriental Consultants MHI Sustainability Energy & Environment Japan Tourism Agency
Aisin AW System5 KIKUSUI ELECTRONICS CORP. Mitsubishi Research Institute,Inc. National Institute for Land and Infrastructure Management
Alpine Superware Inc. Kyuki Meidensha MOE,Kyushu Regional Environment Office
Oki Electric Lotas Club Nagasaki Pref.. Kyushu Electoric Power MEC MLIT Nagasaki Office of National River & Highway
Clarion Takahara Jidosha KDDI Yazaki Corporation Kanagawa Pref.
Sumitomo Electric Industries Tazoe Kokusai Kogyo Aichi Pref.
Seiko Instruments Tazoe Sekiyu San-eishobo Publishing Co.,Ltd. Kyoto Pref.,Kyoto City
Denso Kyushu Tanaka Jidosha CBC ITS Service Promotion Association
Toyota Shokki Tanigawa Jidosha JTB ITS Japan
Toyota Tsusho Electronics Tobinaga Jidosha-Kogyo Shimizu Corporation NPO Across Goto
Nitto Kogyo Nakashima Jidosha Shindengen Electric Manufacturing Internet ITS Consortium
NEC Nakamura Ringyo Smart Energy Laboratory NPO Michimori Nagasaki
Pioneer Choryo Control System Sumitomo Mitsui Auto Service Kyushu Economic Research Center
Panasonic System Solutions Nagasaki Ecology&Energy Industry Network SEGWAY Japan Keio Univ.
Panasonic Electric Works Nagasaki Pref.Convention & Visitors Bureau SEC Goto City Tourism Association
Hitachi Foundation of Encourage Nagasaki Industry ZENA System Goto City Furusato Guide Association
Fujitsu Nagasaki Pref.Autmotive Industry Promotion Lotas Club Kyushu・Lotas Kyushu Sasebo National College of Technology
Fuji Electric Federation of Commerce&Industry in Nagasaki ZENRIN Datacom Japan Federation of Telecommunications
Myway Federation of Shokokai in Nagasaki Sojitz Corporation Smart Project
Mitsubishi Electrics Nagasaki IT Solution Industry Association TAKIGEN MFG Co.,Ltd. JEITA
Nagasaki Pref. Taxi Association Chodai ITS Center, IIS, Univ. of Tokyo
Nagasaki Cuokai dSPACE Japan Organization for Road System Enhancement
Nagasaki Rent-a-car Association TEFT Highway Industry Development Organization
IT space Nansei Jidosha DENTSU INC. Nagasaki Univ.
Isahaya Electronics Corporation Nishikyusyu Enbedded Technology Community Century Tokyo Leasing Corporation Nagasaki Institute of Applied Science
Ichinose Auto Service Nishi-Sonogi Shokokai TEPCO R&D Center Mobility Tech. Univ. of Nagasaki
IRODORI Kobo Hayashida Jidosha Tohoku Ryokka Kankyohozen JARI
OUGISEIKO PAL Corporation Nishitetsu Information System Wakamatsu Furusato Seminar
Autopro Hokusho Motors Nishimu Electronics Dept. of Advanced Mech.Eng.,Waseda Univ.
Obama Jidosha-Kogyo HOP Co.,Ltd. Nichicon
Office Mation Co.,Ltd MHI Power Systems HQ ,Solar Cell Power Sys. Nippon Koei
Kameyama Electric MHI Nagasaki Shipyard & Machinery Works National Instruments Corporation
Kawakami Kensetu-Kogyo Miyazaki Denki Kogyo Co.,Ltd Nihon UNYSIS Nagasaki city,Sasebo city,Shimabara city
Kawanami Jidosha Miyabi Sekkei Park24 Isahaya city,Ohmura city,Hirado city
Kyushu Lohas Motor Service Heart and Heart Hakuhodo Matsuura city, Goto city, Saikai city
Kyowakiden Industry Yamada Denki Kogyo Pacific Consultants Unzen city, Minami Shimabara city, Iki city
KB Software Lancard.com PASTEC
Godo Motors PATLITE
Car Manufacturers
E&E, Navigation
Local Companies &
Groups
IT, Infrastructure Companies
Academies & Organizations
Cities and Towns
Observers(Gov., Pref., City)
31
100 EVs Event in Goto
Commemoration Symposium 100 EV parade ceremony Certificated by Guinness !
Tourist Area
ITS spot
(IP available)
Tourism Information
Platform
(1) Make registration of TIP
and input sightseeing
plan at your home
(3) Confirm the sightseeing plan on TIP
(5) Sightseeing with
a smartphone (4) Drive an EV along the
guide of the plan
Tourism Information Platform
•33
(2) Rent an EV and input
your account
(6) Schedule management of ferry,
dinner reservation, etc.
• Tourism information platform was built for managing all concerning information to
broadcast to EVs.
• The system exchanges the information of sightseeing, events, charger spots, traffic
condition, weather news, the quality and contents types has been extended
:Grid Information flow
:Other information flow
:Power flow
Power Grid
Shinkami Goto-cho AreaGoto City Area
EMS
EV
charger
Smart grid including EVs
EMS
PCS
Building
CEMS CEMS PCS
Photovoltaic
Battery
EV
ITS Spot
Small-scale
Hydroelectric CIS CIS
SM SM SM SM
Internet Access
Tourism information by
Local Administrator/User
EMS: Energy Management System
CEMS: Cluster EMS
CIS: EV Charger Information Server
IIP: Integrated Information Platform
PCS: Power Conditioner
SM: Smart Meter
IIP
 CEMS controls charge and discharge of batteries, especially for the tethered EVs.
 IIP integrates CEMS information and CIS information with tourism information.
Implementations
AC controller
Fuel Meter
Environmental sensors
AC units
EV quick charger
• To control AC by IEEE1888, special AC controller was implemented and installed.
• Totally, 100 environmental sensors are installed in the ferry terminal.
EV navigation for disaster evacuation
36
EVs are automatically navigated to the appropriate evacuation center by using
the specially designed car navigation system.
Implementations
AC controller
Fuel Meter
Environmental sensors
AC units EV quick charger
 Manages IEEE1888
 Totally, 100 environmental sensors are installed in the ferry terminal.
IEA EV CITY CASEBOOK
 The first casebook of EV city
 3 cities were selected from Asia
 Beijing, Kanagawa,
Nagasaki Goto Islands
 World Electric Vehicle Association in 2013
 3 areas were selected in
 Nagasaki Goto Islands, Japan
 Málaga, Spain
 Indianaplis, US
38
E-Visionary Award Prize
IEEE-SA Smart Grid Vision Project
39
$1960
IEEE-SA SGVP ROADMAP
40
$514
ITU-T Focus Group Smart Sustainable Cities
41
IEEE1451 Family
42
Network
Node
or
1451 Network
Capable
Application
Processor
(NCAP)
Transducer
Interface
P1451.2 (Serial Interface) or
P1451.5 (Wireless Interface)
Network Interface (P1451.1.x) (
wired or wireless )
P1451.2 or P1451.5 Communication Module
P1451.0
TEDS
Signal Conditioning, Data Conversion
P1451.4
Transducer
Transducers (Sensors &
Actuators)
1451.7
Transducer
P1451.0
Transducer Services
P1451.2 or P1451.5 PHY
TEDS
Mixed Mode
Interface
RF
Interface
IEEE 21451-001 Signal Treatment (Optional)
Any Network,
Local Network or Internet
P1451-99?
IEEE P1451.0 Common Transducer Services
IEEE P1451.2 or P1451.5 Communication Module
IEEE P1451.1 Common Network Services
IEEE
1451.1.1
TCP/UDP
Services
IEEE
P1451.1.2
HTTP
Services
IEEE
P1451.1.3
Web
Services
IEEE
P1451.1.4
XMPP
Services
IEEE
P1451.1.5
SNMP
Service
IEEE
P1451.1.6
MQTT
Service
Sensor
Node
(sensors &
actuators)
or
1451 Transducer
Interface
Module (TIM)
 defines a set of common
communication interfaces for smart
transducers (sensors or actuators).
• NetworkInterface
• Transducer Interface
 also defines a set of Transducer
Electronic Data Sheet (TEDS).
IEEE 1451-based Devices:
 IEEE P1451.1.x NCAPs
 IEEE P1451.1.1 NCAPs
 IEEE P1451.1.2 NCAPs
 IEEE P1451.1.3 NCAPs
 IEEE P1451.1.4 NCAPs
 IEEE P1451.1.5 NCAPs
 IEEE P1451.2 TIMs (Serial Interface)
 IEEE P1451.5 WTIMs (Wireless)
 IEEE P1451.5-802.11WTIMs
 IEEE P1451.5-BlueTooth WTIMs
 IEEE P1451.5-ZigBee WTIMs
 IEEE 1451.5-6LowPANWTIMs
 ……
 IEEE P1451.4 Transducers(MMI)
 IEEE 1451.7 Transducers (RFID)

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Smart Community Informatics

  • 1. 1 Smart Community Informatics Prof. of Keio University Chair person of Misono Town Management Consortium President of Omotenashi ICT Consortium Director of Edge Platform Consortium Hiroaki Nishi (15-20mins)
  • 2. Smart City/Community 2 Communication Agriculture Water and Sewerage Gas Electric Power Next-Generation Internet Smart Grid Water Infrastructure Field Server Sensor Network Electronic administrationElectronic Health Record Transportation Smart Energy ITS Architecture Datacenter Weather Structure Health Monitoring ICT Infrastructure Common API Service-oriented Platform Environmental Business Broker Aggregator Data Mining Recommendation Medical Services Administrative Authorities
  • 3. Hierarchy of Network and Application 2 Amount of Data Anonymity Calculation Cost Computing Platform Allowable Processing Delay Target Area WideNarrow Building <100m Town <10km City <100km Worldwide Short LongPower System Stabilization Auto drive Collision Avoidance <10ms Facility Control <1s Dynamic Pricing <30min BigSmall Embedded Microcontroller Server Cluster Datacenter StrongWeak Fine-grain data Coarse-grain data BigSmall Plain Strong Anonymization Weak Anonymization <KB <MB >GB CloudEdge / FogHome Gateway IoT Devices Small Terminal Sensors
  • 4. Scale Image of Smart City Services HVAC control Disaster Alert Aggregation Recommendation Facility control In-system control Information display Electric fare rateGrid control Electricity exchange RFID Authentication Security Remote Control CDN ITS EV Lane EV Quick Charger HEMS/BEMS Interaction Traffic Signal Control Automated Parking Motor / Battery Control Automated Drive Traffic Collision Avoidance Privacy preserving Anonymization Behavior analysis Community currency Robot control Healthcare Marketing Individual Area Home Area Town Area City Area High-value and highly functionally services on Cloud or wide area network Immediate Services on local aggregated network Classified services using LAN/PAN for person, house, and building Device Area CloudEdge / FogHEMS BEMS IoT Devices Small Terminal Sensors
  • 5. Flexibility in Providing Services 5 CloudEdge / FogHEMS BEMS IoT Devices Small Terminal Sensors  How to change the service location?  IoT devices have to change the destination IP address from the Cloud to new Edge.  Powerless IoT devices should avoid installing new functions from the point of compatibility.  How to migrate the service process? CloudEdge / FogHome Gateway IoT Devices Small Terminal Sensors
  • 6. Why the information infrastructure has to be changed for achieving smart city services?  Saitama City government complains...  Citizen’s cyber security  Future taxing (Gus, EV power, Network purchasing)  Lie in the idea, “Smart grid service on Cloud”  It is difficult to provide ancillary services  Lie in proving “Edge computing”  This is a clean slate attempt.  Solve these problems by using SoR  Enhance the Internet to Smart city/community Infrastructure that cannot be achieved only by using Fog/Edge/FIWARE...
  • 7. Technological Solution 7 CloudEdge / FogHome Gateway IoT Devices Small Terminal Sensors  ASCA (Authorized Stream Contents Analysis) to analyze reconstructed TCP steam  Authorized application programs on gateway, switch, or router share SSL key with Cloud.  ASCA achieves SSL, gzip, chunk decode of +2 million TCP streams in parallel.  Uses REGEX rules to obtain target information  20Gbps throughput by using hardware accelerators of DPDK, Intel QAT, and HyperScan  ASCA API provides Zero-copy communication on Docker  All communication nodes can provide services when application programs are deployed.  It does not need any change of terminal configuration and use of new protocol.
  • 8. What is IP independent? Why difficult?  When achieving L7 (TCP stream) analysis  It is easy to analyze packets not stream.  Analysis of the stream including the border of packets.  Almost 200,000 streams are flowing in a line at a time of a provider  Is it reared to reconstruct all streams at a router?  It exhausts memories on a router  The size of a steam sometimes exceeds tera bytes.  There are many tasks, such as Decryption, Decompressing, Chunk decoding, Query 8 A1 B1 C1 D1 A2 B2 C2 D2 A3 B3 D3 D4 A1 B1 C1 D1 A2B2 C2D2 A3B3 D3 D4
  • 9. Context switch for reconstruction  Performance  Though it depends on queries and the expire time, it supports up to 20Gbps physical line and million streams.  Partially adaptable to TCP retransmission and packet modification 9
  • 10.  Xeon Phi  Appropriate to the independent stream processing  DPDK  Userland network API  Supported NIC is required  Intel QAT  Hardware accelerator and software library of RSA, DH, Asymmetric encryption, Hash, Compress, Decompress  Intel HyperScan  REGEX-based stream matching and extraction library using STTNI of SSE4.2  Allocating specific stream processes to dedicated cores for efficient stream processing 10
  • 11. Applications supposing in 2010  Preventing IoT devices and small terminals from intrusions by using networks itself  Surveillance of suspicious-looking accesses for proactive  Find and remove phishing attacks by using networks 11
  • 12. Applications supposing in 2010  Providing new services, such as recommendation of nudge, based on user behaviors  Solve the problem of privacy revealing and enhances the service availability by removing privacy information  Solve the problem of process concentration caused by the smart city services, such as smart grid, EV autodrive 12 <8ms scuttle access>1s shuttle access
  • 13. Applications supporting in 2020  Communication trasability  Load balancing by using L7 information and machine learning  CDN management by using network devices (routers) 13 SoR+OMDB+Jubatus Hop-by-hop Encryption+TracabilityCA
  • 14. First implementation using softwares  Implement functions on commercial routers by collaborating with AlaxalA and Juniper  AlaxalA Service Module Card (SMC). Juniper JunOSV AppEngine  DPDK enables 5Gbps when using software  System cost was reduced to 1/5  Easy to extend functions  License free  Intel HyperScan  Intel QAT 14
  • 15. 15
  • 16. 16
  • 17. μSoR (11.5 x 11.5 x 5cm) Small size but has full functions of SoR SoR (2U LED panels showing system status) アクセスランキング User classification using keywords Visualization of user attention Word cloud Booth exhibition (Core loads and memory usage) Students are explaining about our projects
  • 18. UDCMi  Smart City / Town Project @Saitama City  320ha around Urawamisono Station  Planed population 30,000 (7,000)  Urban Design Center Misono  Center for smart town services  Members  Saitama City  Keio Univ., Kougakuin Univ., Shibaura Tech Univ., Tokyo Denki Univ.  AEON Retaling Group, Softbank, Tokyo Gus, IBM Japan, Felica Pocket Marcketing, Tanita, Panasonic, Mitsubishi Local house building companies, Local banks (32 companies and organizations) 18
  • 19. Keio Univ.UDCMi Edge Server HGW Smart house with Home energy management system EMS (TOSHIBA) EMS (Panasonic) Residential Area BLE BLE positioning system Town Area Distributed PV management e-money card (AECON) Health information (TANITA) Smart Meter Reader (IIJ) Smart Meter Providing new Smart City services  UDCMi system provides flexible application program execution environment.  Supports on-the-fly anonymization  Encapsulation of private information  Dynamic service application migration at local/edge,fog/cloud.  Considering the trade-off between service requirements and platform constraints  Relationship management (service venders and users) Bicycle (AEON) Pet (AEON) Traffic collision avoidance (HONDA) watching children go to school UDCMi Services Commercial Area Town security (SECOM) 19
  • 21. BEL Antennas (BLE Spot) 21  140 BLE Spots are implemented in the target area  Expected resolution is about 10m error  Ready for 2 years without any battery charge or change  Internet communication is not necessary
  • 22. Health Monitoring Service 22 Activity meter powered by e-money card e-money card with medical records
  • 23. Temp., Humid., Illumi. sensor IrDA signal Receiver/transmitter Indoor globe temp. Sensor LED indicator Floor, windows temp. seonsor Smart Meter Reader iPad BLE Beacon Outdoor environment PM2.5 sensor HEMS Monitor Carbon dioxide sensor Home Energy management System 23
  • 24. Smart Community Information Platform 24 CloudEdge / FogHome Gateway IoT Devices Small Terminal Sensors Smart Meter Service Application ASCA Anonymization Watermark Printing Use of Cloud Service Service Migration to Fog No protocol No need to change Dest IP ASCA ASCA
  • 25. Trend Toward Urbanization • Half of the world population is living in cities in 2013 • Half of the population of Asia will be living in cities by 2020 • Population in cities is expected to grow from 3.6 Billion to 6.3 Billion by 2050 Housing PollutionTraffic Water & Energy Health & Wellbeing Crime
  • 26. Services to solve urbanization problems  New PCDA Cycle for improving Quality of Life Community Big Data Community Massive data Providing Services Community Sensing Action by Residents/ System Operation New community Data sensing Smart Community / City Service Platform Feedback for improving QoL IoT M2M New Hardware Devices Machine Learning Data Mining Incentives Open API xEMS ASCA Sensors Localizing and personalizing services 26 Terminal Smart Phone Signage Visualization/ System Control
  • 27. Standardization Activities  IEEE-SA Smart Grid Vision Project  Published Smart Grid Vision Project member, Vision Document, Webiner  IEEE P2413 IoT Architecture/Frameworks  Participated, Deliverable of IoT Service considering Network Hierarchy  IEEE P21451-1-6 (PAR: Project Authorization Request submitted)  Chair, Control application of MQTT  IEEE P1451-99 Sensors and actuators in IoT  Establishing Member  IEEE P1451.0 Smart Interface for sensor and actuators, Common functions  Member, From the activity of 1451-99  IEEE P2668 (IDEX)  Establishing Member, KPI of IoT Services  ITU-T Focus Group Smart Sustainable Cities  Leader, published deliverables of information transaction infrastructure  Urban Technology Alliance:Establishing member, Smart city applications  Edge Platform Consortium:Director, Fog/Edge for smart city services 27
  • 28. 28
  • 29. Nagasaki EV&ITS 29  53Km, the longest undersea AC electric power cable in Japan Tsushima Iki Main land Goto Nagasaki City 20km Kyusyu Nagasaki Goto City Shin Kami Goto Town  Wind turbine generates over 20% of total electricity of the island.  Fukue islands – Population: 67,046 – Area: 634.78 km2 Wind turbine on the ocean
  • 30. Consortium Members Toyota Koyanagi Jidosha Seibi Kojo Itochu Enex Fukuoka Denso Shin Kami-Goto town Nissan SAIHI Information Service Internet Initiative Japan Inc. FUJIFILM IMAGETEC Subaru Sasebo Heavy Industries NTT Data FUJIKEN Mitsubishi Motors Satoh Co.,Ltd NTT Data Customer Service Fukken Co.,Ltd. Ministry of Economy,Trade and Industry G.S.Eletech.Kyushu NTT FACILITIES Mitsui & Co.,Ltd. Ministry of Land, Infrastructure, Transport and Tourism SEA ALL Oriental Consultants MHI Sustainability Energy & Environment Japan Tourism Agency Aisin AW System5 KIKUSUI ELECTRONICS CORP. Mitsubishi Research Institute,Inc. National Institute for Land and Infrastructure Management Alpine Superware Inc. Kyuki Meidensha MOE,Kyushu Regional Environment Office Oki Electric Lotas Club Nagasaki Pref.. Kyushu Electoric Power MEC MLIT Nagasaki Office of National River & Highway Clarion Takahara Jidosha KDDI Yazaki Corporation Kanagawa Pref. Sumitomo Electric Industries Tazoe Kokusai Kogyo Aichi Pref. Seiko Instruments Tazoe Sekiyu San-eishobo Publishing Co.,Ltd. Kyoto Pref.,Kyoto City Denso Kyushu Tanaka Jidosha CBC ITS Service Promotion Association Toyota Shokki Tanigawa Jidosha JTB ITS Japan Toyota Tsusho Electronics Tobinaga Jidosha-Kogyo Shimizu Corporation NPO Across Goto Nitto Kogyo Nakashima Jidosha Shindengen Electric Manufacturing Internet ITS Consortium NEC Nakamura Ringyo Smart Energy Laboratory NPO Michimori Nagasaki Pioneer Choryo Control System Sumitomo Mitsui Auto Service Kyushu Economic Research Center Panasonic System Solutions Nagasaki Ecology&Energy Industry Network SEGWAY Japan Keio Univ. Panasonic Electric Works Nagasaki Pref.Convention & Visitors Bureau SEC Goto City Tourism Association Hitachi Foundation of Encourage Nagasaki Industry ZENA System Goto City Furusato Guide Association Fujitsu Nagasaki Pref.Autmotive Industry Promotion Lotas Club Kyushu・Lotas Kyushu Sasebo National College of Technology Fuji Electric Federation of Commerce&Industry in Nagasaki ZENRIN Datacom Japan Federation of Telecommunications Myway Federation of Shokokai in Nagasaki Sojitz Corporation Smart Project Mitsubishi Electrics Nagasaki IT Solution Industry Association TAKIGEN MFG Co.,Ltd. JEITA Nagasaki Pref. Taxi Association Chodai ITS Center, IIS, Univ. of Tokyo Nagasaki Cuokai dSPACE Japan Organization for Road System Enhancement Nagasaki Rent-a-car Association TEFT Highway Industry Development Organization IT space Nansei Jidosha DENTSU INC. Nagasaki Univ. Isahaya Electronics Corporation Nishikyusyu Enbedded Technology Community Century Tokyo Leasing Corporation Nagasaki Institute of Applied Science Ichinose Auto Service Nishi-Sonogi Shokokai TEPCO R&D Center Mobility Tech. Univ. of Nagasaki IRODORI Kobo Hayashida Jidosha Tohoku Ryokka Kankyohozen JARI OUGISEIKO PAL Corporation Nishitetsu Information System Wakamatsu Furusato Seminar Autopro Hokusho Motors Nishimu Electronics Dept. of Advanced Mech.Eng.,Waseda Univ. Obama Jidosha-Kogyo HOP Co.,Ltd. Nichicon Office Mation Co.,Ltd MHI Power Systems HQ ,Solar Cell Power Sys. Nippon Koei Kameyama Electric MHI Nagasaki Shipyard & Machinery Works National Instruments Corporation Kawakami Kensetu-Kogyo Miyazaki Denki Kogyo Co.,Ltd Nihon UNYSIS Nagasaki city,Sasebo city,Shimabara city Kawanami Jidosha Miyabi Sekkei Park24 Isahaya city,Ohmura city,Hirado city Kyushu Lohas Motor Service Heart and Heart Hakuhodo Matsuura city, Goto city, Saikai city Kyowakiden Industry Yamada Denki Kogyo Pacific Consultants Unzen city, Minami Shimabara city, Iki city KB Software Lancard.com PASTEC Godo Motors PATLITE Car Manufacturers E&E, Navigation Local Companies & Groups IT, Infrastructure Companies Academies & Organizations Cities and Towns Observers(Gov., Pref., City)
  • 31. 31
  • 32. 100 EVs Event in Goto Commemoration Symposium 100 EV parade ceremony Certificated by Guinness !
  • 33. Tourist Area ITS spot (IP available) Tourism Information Platform (1) Make registration of TIP and input sightseeing plan at your home (3) Confirm the sightseeing plan on TIP (5) Sightseeing with a smartphone (4) Drive an EV along the guide of the plan Tourism Information Platform •33 (2) Rent an EV and input your account (6) Schedule management of ferry, dinner reservation, etc. • Tourism information platform was built for managing all concerning information to broadcast to EVs. • The system exchanges the information of sightseeing, events, charger spots, traffic condition, weather news, the quality and contents types has been extended
  • 34. :Grid Information flow :Other information flow :Power flow Power Grid Shinkami Goto-cho AreaGoto City Area EMS EV charger Smart grid including EVs EMS PCS Building CEMS CEMS PCS Photovoltaic Battery EV ITS Spot Small-scale Hydroelectric CIS CIS SM SM SM SM Internet Access Tourism information by Local Administrator/User EMS: Energy Management System CEMS: Cluster EMS CIS: EV Charger Information Server IIP: Integrated Information Platform PCS: Power Conditioner SM: Smart Meter IIP  CEMS controls charge and discharge of batteries, especially for the tethered EVs.  IIP integrates CEMS information and CIS information with tourism information.
  • 35. Implementations AC controller Fuel Meter Environmental sensors AC units EV quick charger • To control AC by IEEE1888, special AC controller was implemented and installed. • Totally, 100 environmental sensors are installed in the ferry terminal.
  • 36. EV navigation for disaster evacuation 36 EVs are automatically navigated to the appropriate evacuation center by using the specially designed car navigation system.
  • 37. Implementations AC controller Fuel Meter Environmental sensors AC units EV quick charger  Manages IEEE1888  Totally, 100 environmental sensors are installed in the ferry terminal.
  • 38. IEA EV CITY CASEBOOK  The first casebook of EV city  3 cities were selected from Asia  Beijing, Kanagawa, Nagasaki Goto Islands  World Electric Vehicle Association in 2013  3 areas were selected in  Nagasaki Goto Islands, Japan  Málaga, Spain  Indianaplis, US 38 E-Visionary Award Prize
  • 39. IEEE-SA Smart Grid Vision Project 39 $1960
  • 41. ITU-T Focus Group Smart Sustainable Cities 41
  • 42. IEEE1451 Family 42 Network Node or 1451 Network Capable Application Processor (NCAP) Transducer Interface P1451.2 (Serial Interface) or P1451.5 (Wireless Interface) Network Interface (P1451.1.x) ( wired or wireless ) P1451.2 or P1451.5 Communication Module P1451.0 TEDS Signal Conditioning, Data Conversion P1451.4 Transducer Transducers (Sensors & Actuators) 1451.7 Transducer P1451.0 Transducer Services P1451.2 or P1451.5 PHY TEDS Mixed Mode Interface RF Interface IEEE 21451-001 Signal Treatment (Optional) Any Network, Local Network or Internet P1451-99? IEEE P1451.0 Common Transducer Services IEEE P1451.2 or P1451.5 Communication Module IEEE P1451.1 Common Network Services IEEE 1451.1.1 TCP/UDP Services IEEE P1451.1.2 HTTP Services IEEE P1451.1.3 Web Services IEEE P1451.1.4 XMPP Services IEEE P1451.1.5 SNMP Service IEEE P1451.1.6 MQTT Service Sensor Node (sensors & actuators) or 1451 Transducer Interface Module (TIM)  defines a set of common communication interfaces for smart transducers (sensors or actuators). • NetworkInterface • Transducer Interface  also defines a set of Transducer Electronic Data Sheet (TEDS). IEEE 1451-based Devices:  IEEE P1451.1.x NCAPs  IEEE P1451.1.1 NCAPs  IEEE P1451.1.2 NCAPs  IEEE P1451.1.3 NCAPs  IEEE P1451.1.4 NCAPs  IEEE P1451.1.5 NCAPs  IEEE P1451.2 TIMs (Serial Interface)  IEEE P1451.5 WTIMs (Wireless)  IEEE P1451.5-802.11WTIMs  IEEE P1451.5-BlueTooth WTIMs  IEEE P1451.5-ZigBee WTIMs  IEEE 1451.5-6LowPANWTIMs  ……  IEEE P1451.4 Transducers(MMI)  IEEE 1451.7 Transducers (RFID)

Notes de l'éditeur

  1. As described before, EV will become a smart mobility service, communication device, privacy and security center, and service provider. This borderless integration is a tide of current development, and it can be seen in infrastructures. Originally, medical services will be changed into smart medical services using electronic health record. Architecture will be changed into smart architecture using structure health monitoring. Agriculture will be change into smart agriculture using field server for automated growth management. Every infrastructure will become a member of smart infrastructures. As the next step, the data taken from these smart infrastructures will be concentrated into a data center. This is the essential viewpoint of the internet of things or IoT. When we focus on the data in a data center, big data analysis is a promising application for the future services. Machine learning will be used to manage the bunch of data. As told, edge and fog computing also becomes a significant role in providing various services. What will happen next? We need new services using crossing data between different infrastructures on the smart infrastructures. Environmental business, broker business, aggregator business, data mining business, and recommendation business can be the examples of the services. In this meaning, EV influences another infrastructure, such as the electric power market. We can imagine such an inter-infrastructure services. EV and smart grid will become a significant role in the future inter-infrastructure services.
  2. Here, one question comes to our minds. When target of the service changes or service location is mismatching, how to shift the service location? Generally talking, IoT devises have to change the destination IP address from the Cloud to new Edge. However, powerless IoT devices should avoid installing new functions and protocols. From the view point of compatibility, it is better not to make any change in IoT devices. Then, how to migrate the service processes?
  3. This time, I would like to give an overview of technological solution. We use authorized stream contents analysis that is a technology to reconstruct TCP stream at Fog area and analyze the contents at character string level. In ASCA, gateway, switch and router shares SSL key with Cloud, and decode SSL, gzip, chunk encoded stream. After that, it achieves string extraction by using regular expression rules, and finally, it stores the extracted data into a database. Thanks for the hardware accelerator of DPDK, Intel QAT, HyperScan, we can achieve these process at 20Gbps network throughput and over two million streams at the same time. All service applications of Smart Community Information Platform is designed as Docker container and the applications can use zero-copy data transfer for achieving low latency communication by using ASCA API. All communication nodes can provide smart city services when the application programmes are deployed. Namely, it does not need any change of terminal configuration and use of new protocol.
  4. 筑波大学川島先生 NII鯉渕先生(実際に)
  5. By using proposed smart community information platform, we provide several smart city services as shown in here. Location services for bicycles, pets, and watching children as well as security service are provided. We also have a plan to reduce collision accidents by exchanging these information with vehicles. In the residential area, smart houses are introduced including sensor of electricity usage, indoor and outdoor environment, and residents’ behaviors. In commercial area, AEON, one of the biggest retailing company, recommendation and incentive services using points of e-money card, and TANITA a famous company at health or body meter and care service, are managing residents’ health conditions. These information are gathered into our server and cloud by using the SCIP.
  6. Nagasaki Goto Islands is located at the west end of Kyusyu. The area is about 635 square kilometer. Almost quarter of the electricity of the Islands is generated by Wind turbines. The area is also specified as the testbed site of on-the-ocean wind turbine system. The islands have undersea AC power cable to connect with Kyusyu. This cable is the longest one in Japan.
  7. This consortium was supported over 200 companies including car manufacturers, electronics and car navigation companies, local companies, Information Technology companies, infrastructure companies, Academies, Organizations, local governments, and ministry and prefecture as observers.  
  8. This map shows the installed quick chargers and ITS spots. You can find these chargers are distributed all the islands. The chargers and ITS spots are mainly installed at the sightseeing spots. You can park and charge your EV while you enjoy sightseeing.
  9. First, 100 EVs were installed. Additionally, the rest, 50 EVs were installed in the next year. After the first installation, 100 EV parade Guinness challenge was achieved successfully and got Guinness World Record certificate.
  10. Tourism information platform was built for managing all concerning information to broadcast to EVs. The process of providing the information is as follows. First, you make a registration of “FUTURE ECO NAVI GOTO” of tourism information platform. After that, you can design your sightseeing plan according to the system recommendation. Second, rent an EV and input your account. Then, your designed plan comes up to the navigation system because all special navigation systems for EVs connects tourism information platform. Third, confirm the sightseeing plan shown in your navigation system. You can rearrange it. Next, please drive your EV along the guide. Next, Please visit sightseeing spot you selected. You can also check the information with your smartphone when EV is parked. Last, the system also provides tourism information, such as the timetable of a ferry, dinner reservation. You can enjoy your sightseeing without thinking a disturbing. The system exchanges the information of sightseeing, events, charger spots, traffic condition, weather news, the quality and contents types has been extended.
  11. This figure shows the total structure of constructed smart grid system including EV. Each island has a center of its cluster energy management system, so-called CEMS. CEMS manages and controls local power grid. Each site has local energy management system or EMS. EMS controls the local power generation by small-scale hydroelectric power generator, photovoltaic power generator. It also manages local power demand. For fee collection, EV charger information server or CIS. EMS controls charge and discharge battery on a site or battery of tethered EVs under the control of CEMS. IIP integrates CEMS information and CIS information with tourism information. All these information is available to access over the Internet.
  12. To control AC by IEEE1888, special AC controller was implemented and installed. All AC units are connected to the AC controller and EMS. The ferry terminal also has a fuel-based air conditioner. EMS manages the usage of fuel for considering total carbon dioxide emission. Totally, 100 environmental sensors are installed in the ferry terminal. The EMS manages not only the information of EV quick charger but the status of tethered EV.
  13. ((( This slide includes movie ))) The EV battery can be regarded as the effective energy source in a disaster. Tsunami attack is a serious disaster, and it should be used as an energy resource at evacuation centers in Fukue island. East Japan earthquake in 2010, Big tsunami attacked the seashore of East Japan. At that time, we know one person in a middle size evacuation center uses about 20Wh electricity in a day for surviving. This means, one full charge EV helps electricity demand of 800 people. We use an application on the IIS to navigate EVs to appropriate evacuation centers. This is a simulation of the system. Three evacuation centers are located at Fukue town. EVs are automatically navigated to the appropriate evacuation center by using the specially designed car navigation system. At a disaster, all communication system will be unavailable. This navigation guide is frequently updated according to the current status of IIS information. When the system catches a sign of disaster from Japan’s global disaster forecast center, all EV receives the navigation guide. After that, EV driver escapes to the evacuation center according to the guide of the navigation system.  
  14. To control AC by IEEE1888, special AC controller was implemented and installed. All AC units are connected to the AC controller and EMS. The ferry terminal also has a fuel-based air conditioner. EMS manages the usage of fuel for considering total carbon dioxide emission. Totally, 100 environmental sensors are installed in the ferry terminal. The EMS manages not only the information of EV quick charger but the status of tethered EV.
  15. Hereafter, an EV town of near future will be described. Nagasaki Goto Islands as an EV city case. IEA published EV CITY CASEBOOK in 2012. It is the first casebook of EV city. 16 cities from the world and three cities from Asia were selected in the casebook. Nagasaki Goto Islands was selected as these cities. Nagasaki Goto Islands and other two EV cities got E-Visionary Award in 2013. I would like to introduce the EV islands project of Nagasaki.