Foundations: Introduction to IoT, Fog and Edge Computing, hierarchy of Fog and Edge Computing, edge network, Edge computing architectures, OpenFog Reference Architecture for Fog Computing, Optimization in Fog and Edge Computing, Case Study: open source platforms like Apache Edgent.

Middleware: Middleware for Fog and Edge Computing: Design Issues, Lightweight Container Middleware for Edge Cloud Architectures, Data Management in Fog Computing, Predictive

Analysis to Support Fog Application Deployment, Using Machine Learning for Protecting the Security and Privacy of Internet of Things (IoT) Systems

Applications: Applications of Fog Computing in Big Data Analytics, health monitoring, smart surveillance, smart transportation, Modeling. Simulation of Fog and Edge Computing Environments Using open source platforms like iFogSim Toolkit

Pre-Requisite(s): Distributed Systems, Basic OS, Networks knowledge
Course Type: Lab

Course Objectives

• Discusses major components of Fog and Edge computing architectures such as middleware, interaction protocols, and autonomic management
• Be able to data collection, learning and do analytics at the edge
• Improve performance at the edge and analyze the latest edge based systems and platforms and design applications

Course Outcomes

CO1: Understand the foundations of fog and edge computing networks and different architectures
CO2: Design fog and edge computing based systems and applications using reference architectures
CO3: Understand and apply data collection, analysis, decision making and learning methodologies over the edge for different applications
CO4: Apply optimization techniques for edge and fog computing

CO-PO Mapping

Evaluation Pattern: 70/30

Note: Continuous assessments can include quizzes, tutorials, lab assessments, case study and project reviews. Midterm and End semester exams can be a theory exam or lab integrated exam for two hours

1. Rajkumar Buyya, Satish Narayana Srirama, “Fog and Edge Computing: Principles and Paradigms”, Wiley, 2019
2. Javid Taheri, Shuiguang Deng, “Edge Computing: Models, technologies and applications”, IET, 2020
3. Khaldoun Al Agha, Pauline Loygue, Guy Pujolle, “ Edge Networking”,Wiley-ISTE,2022.
4. Xin Sun and Amin Vahdat, “Edge Computing: A Primer”, CRC Press, 2019.
5. “OpenFog Reference Architecture for Fog Computing”, Industry IoT Consortium, OpenFog_Reference_Architecture_2_09_17.pdf (iiconsortium.org
6. “IEEE Standard for Adoption of Openfog Reference Architecture for Fog Computing,” Aug. 2018, standard No. 1934-2018″, [online] Available: https://standards.ieee.org/standard/1934-2018.html.

Evaluation Pattern: 70/30