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Cps isi

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Internet of Things, IoT

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Cps isi

  1. 1. 1 Copyright © 2014 Tata Consultancy Services Limited From Embedded Systems to Cyber-physical Systems - Model-driven Development for Internet-of-Things Dr. Arpan Pal Principal Scientist and Research Head Innovation Lab, Kolkata TCS With Dr. Arijit Mukherjee 17-May-15
  2. 2. 2 Cyber-physical Systems – Internet-of-Everything Humans Physical Objects and Infrastructure Computing Infrastructure Physical Context Discovery INTERNET OF EVERYTHING Physical Context Discovery What is happening, where and when People Context Discovery Who is doing what, where and when, who is thinking what Internet of Digital Internet of Things Internet of Humans ABI Research. May 7, 2014 "In the next century, planet earth will don an electronic skin. It will use the Internet as a scaffold to support and transmit its sensations.“ - Neil Gross 1999
  3. 3. 3  Embedded Systems – Information processing systems embedded into enclosing products – Typically Stand-alone – Focus on constrained devices (CPU, Memory) – Focus on Real-time Response and Reliability (Instruct – Act)  Cyber-physical Systems (CPS) – Integrations of Information Processing and Physical Processes – Networked Embedded Systems – Intelligence-on-the-cloud: not constrained – Focus on Sensing based Analytics and Business Intelligence (Sense-Analyze- Respond) Traditional Embedded Systems vs. Cyber-physical Systems From Embedded …… Towards CPS
  4. 4. 4 It’s a Connected Universe NEVER FORGET YOUR PILLS MONITOR YOUR ACTIVITYMONITOR THE AGED source: http://postscapes.com/internet-of-things-examples/ HEAT YOUR HOME EFFICIENTLY MAKE SURE THE OVEN IS OFF TRACK DOWN THOSE LOST KEYS KEEP THE CITY CLEAN RECEIVE POLLUTION WARNINGS USE ELECTRICITY MORE EFFICIENTLY Connected Individual Connected Home Connected City
  5. 5. 5 Sensors & actuators request response Traditional internet-based software stack Drivers “Things” – Traditional Embedded Devices Traditional way to look at IoT - Embedded + Internet
  6. 6. 6 Actuators Sensors Drivers A new way to look at IoT – Knowledge-driven Semantic Sensor Web Entity of Interest (building) Phenomenon (catches fire) observation Drivers Sensor measurement Deduce Fire, activate fire control measures actuation Physical World Cyber World
  7. 7. 7 Horizontal operators (semantic integration) operates on data from heterogeneous sources to created integrated data streams. Semantic Sensor Web - From Data to Wisdom temperature humidity odor image high temperature gaseous odor light concentrated light high temperature indicates fire gaseous odor indicates gas discharge Fire from Gas Leak, evacuate immediately, send fire fighting team equipped with gas leakage data information knowledge wisdom Vertical operators (semantic abstraction) operates on artifacts at each level and transcends them to the next level F PCS(Data, KB*) → Information F PCS(Knowledge, KB) → Wisdom F PCS(Information, KB) → Knowledge KB: Knowledge base Adopted from: Physical-Cyber-Social Computing: An early 21st Century Approach, Amit Sheth et. al.
  8. 8. 8 Requirements and Challenges for IoT – Need for a Platform Applications need support for Visibility Capture & store data from sensors Insights Patterns, relationships and models Control Optimize and actuate TCUP – TCS Connected Universe Platform A horizontal platform for addressing the IoT Software and Services market Model-driven Development Model the Domain Knowledge Model the Infrastructure / Architecture – Network, Storage, Compute (Device and Cloud) Model the Analytics – map to Domain Requirements TCUP Platform Model the Sensor – Semantics, Phenomenon
  9. 9. Thank You IT Services Business Solutions Consulting

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