1. Sateesh Addepalli
August 2012
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 1

2. Collaborative
Collective
Strategic
Intelligence
Value
&
Creation/
Creativity
Capture
Rapid
Innovation
Bringing to bear Rapid Innovation in a Collaborative/Collective manner that has Strategic Value
To Customers/Businesses/Citizens/Society In General
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 2

3. • Rapid urbanization — According to Pop. Reference Bureau, 70% percent of the world population will
be urban by 2050, creating logistical and transportation gridlock.
• Growth of aging population is accelerating — As per RAND group, by 2030, elderly population will
reach 24 million per year, requiring assistive living and elderly care
• The rise of the global middle class — As per Reuters Info Graph, global middle class will rise from
current 2 billion to 4.9 billion by 2030. This creates massive opportunity in terms of spending power, but
also, puts enormous stress on energy, food, other resources and environment.
• Alarming rise in health care cost — As per, Benton foundation, in 2006 healthcare consumed 16% of
US GDP and is projected to consume 19% of US GDP by 2017. Trend is to use digital technology such
as „Telehealth‟ and „digital health IT‟ to reduce health care cost by 100s of billions of dollars.
• Heightened social responsibility in sustainability — Education programs through UN agencies,
taking effect on private/public entities in caring about sustainability and want to associate themselves
with the word “Smart Everything” e.g net positive energy usage, giving back to grid, reducing the
pollution, saving the environment, positively influencing the climate change etc.
• Digital world is creating massive potential virtual capital — Need to translate to physical world for
better “Quality of Live” for human being.
Source: Multiple
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4. Human
Society
Better
“Quality of
Life”
&
Sustainability
Real Virtual
World World
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 4

5. resources, risks, health and environment
Source: Cisco
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6. Perception is not always the reality
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7. Perception is not always the reality
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8. Perception is always the reality
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10. Infrastructure Space Cloud Space
Swarming Space
Transportation
Sensors, Actuators and Mobile Devices
and Shipping
Pervasive Service Exchange(PSX) & SDP
Service
ASR
Provider
Collaboration Auto Care/
Telematics
Edge
IP CORE
RAN/LAN
Visualization Utility
& Power
ISR
Decision
Enterprise Remote
Healthcare
Edge Compute Servers and Storage , Smart
Gateways, Switches/Routers, Communities
Base Stations/APs
Horizontal Capabilities across Spaces
Middleware : Discovery, Deterministic Messaging, Object Context, Object Execution, Object & Context Mobility, Object & Context Security,
Dynamic Offloading , Federated Directory Services, Distributed Processing, Integration to App Framework
Big/Fast Data Middleware : Data Ingestion, Filtering, Data Fusion, Geo-Data Management, Distributed Indexing and Search
Big/Fast Data Analysis : Complex Event Processing, Event Stream Processing, Distributed Data Mining, Correlation and Analys
Application Framework : Pervasive Service Exchange (PSX) Platform + ESB to integrate SS, IS, ERP/CRM
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 10

11. Service
Delivery
Business
Policies
BI
Enterprise Service Bus (ESB)
Collaboratio
Data SC / Pervasive
n Service SCADA
Ware ERP CRM Work Sensor
Framework Mgmt Systems
Flow Framework
XMPP House
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 11

12. © 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 12

13. © 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 13

14. 1. Creation of Reference IoT Platform Architecture
2. Innovation and experimentation on
a. Sensing and Actuation Technologies
b. Big Data/Fast Data/Real-Time Data Processing Techniques
c. Real-time sensing and control protocols
d. Middleware technologies
e. Common Security, Privacy, Identity and Trust Framework
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 14

15. 3. Show casing various vertical use cases over IoT Platfrom
a. Smart Parking and Cities
b. Health and Wellness
c. Intelligent Transportation and SCV
d. Public Safety
e. Smart Grid and Energy
f. Smart Building
g. Industrial Automation
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 15

16. • Network connectivity options
AVPN/MIS DC/Cloud to/from RPL root nodes:
Applications
1. 2G/3G direct to CGR 1000
Mobility EPC 2. 3G/4G → Ethernet via 819
ISR
Ethernet access
3. 3G/4G → WiFi via 819 ISR
switched/routed network
Cell Site 3 4. Ethernet (ISR/Catalyst) →
3G/4G
Ethernet
4 (e.g., IA2K, IA3K, Cat2955) WiFi
819 ISR WiFi mesh root node • Optimal connectivity model
3G/4G (Cisco WiFi) varies depending upon:
1 WiFi mesh Application(s)
Geographic 2 2G/3G/4G/WiFi/Ethernet
Grid Cell deployment
819 ISR WiFi mesh node
(see next slide) 2G/3G (Cisco WiFi) Cost models
Ethernet WiFi
Fog
computing root node
(e.g., CGR 1000)
Network connectivity
options:
• IEEE 802.15.4 3rd party sensors/vehicles
• WiFi direct (tbd) (variable, subject to application, e.g., parking space sensors)
• Cellular direct (tbd)
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 16

17. Geographic Grid System Map
• Geographic grid system may
represent city, state, highway,
parking lot, etc.
• Network connectivity between
“grid cell” and AVPN/MIS/Cloud
depends upon various factors
as outlined on previous slide
• Within each grid cell, there
exists an RPL root node and
application-specific sensors
Sensors/Vehicles
WiFi mesh node or 2G/3G/4G cell site
RPL root node
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 17

18. © 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 18

19. Cloud
Virtual xChange
Monitoring Control Analytics Collaboration
Security & Privacy
Apps
Identity & Trust
Space
Cloud Pervasive Platform with Open APIs
Service Orchestration & Delivery Big Data Management
Cross Platform Pervasive Middleware
With APIs to/from Fog
Federated
Monitoring Control Analytics Collaboration
Apps
Federated Space
Security & Privacy
Identity & Trust
Distributed Pervasive Platform with Open APIs
Service Orchestration & Delivery Big Data Management
Edge/Fog
Compute
Pervasive SW Components including Middleware
With Cloud APIs to/from Cloud or other Fog
Distributed Core SDN +
(CPUs, GPUs, VM, Control
Sandbox) Virtualization
Pervasive Sensor-Actuator Platform
Identity & Trust
Swarming Space
Security &
Network of Sensory Swarms (PLC, 802.11x, Zigbee, SCADA,TTEthernet,
Privacy
Asset/Sens
IPv6,WirelessHART, RPL)
or/
Actuator
Fabric Industrial Climate & Health &
Resources Energy Automation Disasters Emergency
Vehicles
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22.  Finally communicate with drivers
 Publish location and policy (free!)
 Reservations capabilities
 Dynamic advertising
 Real-time availability
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23. AI
Learning
Models
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24. © 2010 Cisco and/or its affiliates. All rights reserved.
Source : NASA Cisco Confidential 24

25. Business Intelligence Service (Analytics, Visualizations, Alerts, Control)
HTTP | HTTPS | XDBC | WebDAV | REST | AJAX | JSON | SQL JDBC/ODBC
Search Query API SQL Query API
Data
Servicing
Master Node Query Parser, Planner/Scheduler, Dispatcher, Result Collector
Distributed Query Processing at Network
NOSQL SQL
Streaming
Streaming
Streaming
Distributed XDB
Data Streaming or
XDB RDBMS
Storage
(Indexed, Relational)
Distributed Statistical Models for Data Filtering
(Correlation, Regression, Anomaly Detection etc)
Data Discovery
& Aggregation
Semi-
Un-structured Structured
structured
Raw Data Streams
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26. Domains (tbd)
Transit Utilities Health …
Acquisition
tabular, web, sensors, …
Disciplines (tbd)
Project 1
Integration
…
GIS, visualization, data science,
…
Analysis
Project 4
Project 3
Project 2
Data mining, OR, modeling
Living Lab, Innovation District
Science “Users”
Citizen Science
New York City
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 26

27. Infrastructure Efficiency
Assessment Meet Enterprise Requirements
 Reduce the environmental and economic impact of energy
consumption
 Optimize large data center projects (consolidation, virtualization)
 Improve electrical efficiency and availability to realize capacity
gains
Benchmark Energy Efficiency of IT
Infrastructure
 Electrical capacity
 Electrical efficiency
 Cooling burden factor
Benefits  Facilities burden factor
 Thermal density
 Reduce energy consumption
and costs Recommendations to Improve Efficiency
 Establish efficiency  Benchmark energy efficiency: CADE, PUE, DCiE metrics
benchmarks for space, power
and cooling  Analyze performance for CPU, storage, and network resource
 Initiate active energy utilization
management  Project efficiency gains through modeling and ROI analysis
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 27

28. Automated Land change Evaluation,
Reporting and Tracking System
(ALERTS) enabling near real time
automated detection and characterization
of land use change events in Forests, ALERTS is a global platform for land
Food, Energy and Water Systems
change detection, providing:
• Global coverage of land change events
• 250 m x 250m resolution  50 m
• Near-real time global refresh and
reconstructed 11 yr historical record
• Initial assessments suggest that
performance is on par with alternative
approaches
• Automated, very low-cost operation,
leveraging US Billions spent in last 20
years in EO satellites and frontier
computer science / engineering
• Customizable electronic alerts; tailored to
decision flows of stakeholders
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 28

29. © 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 29