Dilip Krishnaswamy, Senior scientist, IBM Research Presented at the TIA Summit- 2017 www.tiasummit.com

1. © 2014 IBM Corporation
Distributed Technologies, Platforms, and
Services for Smart Cities
Dr. Dilip Krishnaswamy
Sr. Research Scientist, IBM Research, Bangalore
dilikris AT in.ibm.com
http://researcher.ibm.com/researcher/view.php?person=in-dilikris

2. IBM ©2014 IBM Corporation
Africa Lab and
“Project Lucy”
Dublin transit
visualization
Australia
evacuation
planning
Brazil citizen
sensing platform
IBM Research – The World is Our Lab
© 2014 International Business Machines Corporation

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What do you see?

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Dublin City (Bangalore / any Smart City?) Data

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Mobile Social
Cloud
Internet of Things
Cloud / Mobile / Social / IoT / BigData Convergence
https://www.ibm.com/analytics/us/en/watson-data-platform/
https://spark.apache.org

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Example Smarter City Use-cases
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Smart Efficient Urban
Transportation Optimization
Dynamic Visualization
and Event Processing
Proactive
Transportation Route
Management
Emergency & Disaster
Management
Meet the increasing
demands of the
Airline/Shipping Industry
Network
Analysis
Social media
Analysis
Mobility
support
Real-time Traffic &
Context Management

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Intelligent Transport Systems
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Diverse IoT and Smartphone Traffic
tele-health
vehicle &
fleet monitoring asset tracking
smart metering
surveillance &
sensing

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Message Sight – scalable message processing for smart city
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https://www.ibm.com/developerworks/downloads/iot/messagesight/index.html
http://www.mqtt.org

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Transforming smart cities
1. Sensor data assimilation
- Data diversity, heterogeneity
- Data accuracy, sparsity
- Data volume
2. Modelling human demand
- Understand how people use
the city infrastructure
- Infer demand patterns
3. Operations & Planning
- Organise data & knowledge
- Process uncertainty
- Engage citizens
- Enable smarter operations
Smart Logistics & Transportation Water and the Environment
Smart Energy Mobility Sustainability
Citizen Care and Safety Urban Awareness

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Pollution Monitoring

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Smart Energy Management
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Precision Agriculture

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Cognitive Data Fusion – Agriculture & Weather

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IBM Watson for Oncology
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https://www.ibm.com/watson/health/oncology-and-genomics/oncology/

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Key Concepts and Benefits of Blockchain
Transaction time
from days to
near
instantaneous
Overheads and
cost intermediaries
Tampering, fraud
& cyber crime
Smart
Contracts
Security
Shared
Ledger`
Consensus
Ensuring appropriate visibility;
transactions are secure,
authenticated & verifiable
Business terms embedded in
transaction database &
executed with transactions
All parties agree to network
verified transaction
Append-only distributed
system of record shared
across business network
Reduces
Time
Removes
Cost
Reduces
Risk
New Systems
with
Blockchian
IoT Integration
into supply chain
Hyperledger – open source cross-industry standard is now available
(v1.0 released recently) (Website: http://www.hyperledger.org)
Blockchain Technology

22. IBM ©2014 IBM Corporation
WORKFLOW AUTOMATION & COMPLIANCE SUPPLY-CHAIN VISIBILITY
Automate current
inefficient, manual and
error-prone workflows in
documentary trade
finance
Provide single view for
purchase order life-cycle
across the supply-chain as the
truth
TRADE/SUPPLY-CHAIN FINANCE
Improve the efficiency of
commercial financing business
by sharing data in a secure
and transparent manner
SUPPLY-CHAIN PROVENANCE
Provide provenance
across the supply-chain
cutting through complex
distribution and
processing ecosystems
International Trade & Supply Chain: Use Cases and Client Examples
Food Safety Channel FinancingInvoice discounting Trade finance

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http://www.idrbt.ac.in/assets/publications/Best%20Practices/BCT.pdf

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NFV Transition to Software Appliances

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Hierarchical and distributed VM placement
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Cloud Data Center (Network / Service / App Functions)
In-Network Mini Data Center
(Network / Service / App Functions)
In-Network Mini Data Center
(Network / Service / App Functions)
With the availability of compute & storage in-networks, explore the
placement of network / service / application functions across DCs
 How can best utilize the dynamic availability of such distributed
compute/network/storage/energy resources?

26. IBM ©2014 IBM Corporation
JnanaCenters - National Knowledge Centers (NKCs)
 JnanaCenters are national repositories of
knowledge distributed all over India
 They represent National Knowledge (data)
Centers (NKCs) distributed within the National
Knowledge Network (NKN)
 Every key node (city) in the NKN can host a local
Jnana data center in that city
–Each JnanaCenter stores relevant knowledge
for the communities that the data center
serves
–JnanaCenters can house nptel and spoken
tutorial videos replicated across the country
–Videos in a specific language can be stored
as needed for a given geographical location
JnanaCenters in the National Knowledge Network  Serving Knowledge for the Edge
D. Krishnaswamy, K. Rajagopal, A. Qamar, R. Krishnan, N. Narayan, K. Bijlani, K. Moudgalya ,
"Bringing Knowledge to the Edge with JnanaEdge and BuddhiEdge: Architecture, Implementation
and Future Directions", IEEE Technology for Education (T4E) Conference, 2014.

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JnanaCenters and JnanaEdgeServers on the NKN
JnanaEdge Server
JnanaCenter
JnanaCenter
JnanaCenter
Village
Hub
Skilling
Or Training
Hub
School/
College
Hub

28. IBM ©2014 IBM Corporation
Serving Edge Communities
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Local Collapsed
Networking Service
User User
Local Apps /
Services
User User
• Local Whatsapp
• Local Twitter
• Local Facebook
• Local Email
• Local Web
• Local VR/AR
• Local VCDN
• Local Banking
• Local Healthcare
• Local Emergency
• Local Blockchains
• Local Traffic
• Local Weather
• Local Pollution
• Local CognitiveApps
• Collapsed LTE Stack
• WiFi access
• Differential Billing
Local
Storage/Content
• Local Wikipedia/Ebooks
• Local Newspapers
• Cached News/Video
• Local Language Support
Remote Cloud

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THANK YOU 
Contact Info:
Dilip Krishnaswamy
Mobile: +91-9008553311
dilip@ieee.org,
dilikris@in.ibm.com
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