Edge Computing-Concept-Basic characteristics and attributes-Introduction to Cloud and its limitations to support low latency and RTT-From Cloud to Edge computing-Waves of innovation-Real time Benefits of Edge Computing Use case of Edge computing-Challenges of Edge Computing.

Introduction to Edge Computing Architectures-Edge Computing to support User Applications (5G-Slicing, self-driving cars and more)– Model-driven Multi_view Display- Concept view Display-Edge Computing Domain models-Function view-Edge computing Network Development service framework.

Concepts of distributed systems in edge computing such as time ordering and clock synchronization, distributed snapshot, etc. Introduction to Edge Data Center, Lightweight Edge Clouds and its services provided by different service providers. Edge Computing in the IoT-Introduction Mobile operation IoT edge benefits of edge for the IoT.

From Cloud computing to Multi access edge computing-Introduction to docker container and Kubernetes in edge computing. Design of edge storage systems like key-value stores Introduction to MQTT and Kafka for end-to-end edge pipeline. Edge analytics topologies for M2M and WSN network (MQTT)

Infrastructure-Evolution-Evolution of Edge cloud deployment options – Real estate model Infrastructure-as a Service Platform-as a Service Collaboration Platform-as a service TCO Analysis – an Operator Perspective Focus on energy cost Deployment cost Business Model aspects. Use cases of machine learning for edge sensor data in predictive maintenance, image classifier and self-driving cars. Deep Learning On-Device inference at the edge to support latency-based application