Overview
ABOUT THE COURSE: The disrupted conventional computing models for internet of things(IoT), cloud computing, machine learning and embedded technologies have emerging computing paradigms called as Edge Computing . Computing has taken many shapes from edge to cloud. This course has been designed with an objective to provide a comprehensive understanding of relevant technologies (IoT, ML and Cloud) for various emerging computing paradigms of Edge Computing. Emerging applications of Internet of Things (IoT) such as augmented reality, self-driving cars, and many more are delay sensitive and computation intensive involve computing with large amount of data generated from massively distributed end users require real-time processing. Although the success of cloud computing for supporting high performance computing has been witnessed in recent years, its inefficiency in quality of service (QoS) provisioning for delay sensitive applications as well as high energy consumption has been the bottleneck for the development of delay-sensitive IoT applications. Edge computing has recently emerged as an extension to cloud computing for QoS provisioning for delay-sensitive applications. It supports cloud-like computing in the network edge by deploying computing and network resources along the path between data source and cloud datacenters. This course provides an in-depth understanding of terminologies and the core concepts behind Cloud-IoT-Edge problems, applications, systems and the techniques, that underlie today’s cutting-edge technologies. It provides an introduction to some of the start-of-the-art IoT and wireless networks, edge and virtualization technologies, recent trends in computer hardware for artificial intelligence, spatial localization and detection, tensor processing unit for fast and affordable artificial intelligence (AI). And while discussing the concepts and techniques, we will also look at various applications of Cloud-IoT-Edge using Machine Learning, Deep Learning, and many others. The course is suitable for all UG/PG students and practicing engineers/ scientists from the diverse fields and interested in learning about the novel cutting edge techniques and applications of Cloud-IoT-Edge. INTENDED AUDIENCE: CSE, ECE, EEPREREQUISITES: Basics of Computer Architecture and Organization, NetworkingINDUSTRY SUPPORT: IT industries
Syllabus
Week 1: Introduction to Cloud, Internet of Things (IoT), and Edge Computing ParadigmsWeek 2: Integrating Cloud+ IoT + Edge Infrastructures: System Modeling and Research Challengesin Federating Edge ResourcesWeek 3: Management and Orchestration of Network Slices in 5G, Edge, and CloudsWeek 4: Introduction to Lightweight Container Middleware for Edge Cloud ArchitecturesWeek 5: Data Management and Predictive Analysis to Support Edge Application DeploymentWeek 6: EdgeComputing Realization for Big Data AnalyticsWeek 7: Introduction to Machine Learning Services at Public Cloud (AWS Sage Maker)Week 8: Use Cases for Machine Learning and Deep Learning at the Edge: Smart Surveillance Video Stream Processing, AR/VR, Health Monitoring and Self-driving cars