Page 178 - Microsoft Word - B.Tech. Course Structure (R20) WITH 163 CREDITS

UNIT – IVExploiting Fog Computing in Health Monitoring
Introduction, An Architecture of a Health Monitoring IoT-Based System with Fog Computing , Fog
Computing Services in Smart E-Health Gateways, System Implementation Case Studies, Experimental
Results, and Evaluation , Discussion of Connected Components , Related Applications in Fog
Computing 313
Smart Surveillance Video Stream Processing at the Edge for Real-Time Human Objects
Tracking : Introduction, Human Object Detection, Object Tracking, Lightweight Human Detection.
Fog Computing Model for Evolving Smart Transportation Applications :Introduction, Data-
Driven Intelligent Transportation Systems, Mission-Critical Computing Requirements of Smart
Transportation Applications, Fog Computing for Smart Transportation Applications, Case Study:
Intelligent Traffic Lights Management (ITLM) System, Fog Orchestration Challenges and Future
Directions .

UNIT – V Testing Perspectives of Fog-Based IoT Applications
Introduction, Background, Testing Perspectives
Legal Aspects of Operating IoT Applications in the Fog : Introduction, Related Work,
Classification of Fog/Edge/IoT Applications, Restrictions of the GDPR Affecting Cloud, Fog, and IoT
Applications, Data Protection by Design Principles
Modeling and Simulation of Fog and Edge Computing Environments Using iFogSim Toolkit:
Introduction ,iFogSim Simulator and Its Components, Installation of iFogSim, Building Simulatio with
iFogSim, Example Scenarios, Simulation of a Placement Policy, A Case Study in Smart Healthcare
Textbooks:
1. Fog and Edge Computing: Principles and Paradigms by Rajkumar Buyya, Satish Narayana
Srirama, wiley publication, 2019, ISBN: 9781119524984.

Reference Books:
1. David Jensen, “Beginning Azure IoT Edge Computing: Extending the Cloud to the
Intelligent Edge, MICROSOFT AZURE.
2. Fog Computing: Theory and Practice by Assad Abbas, Samee U. Khan, Albert Y. Zomaya

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