Concerned with processing data closer to the source of data generation rather than relying solely on centralized data centers, and includes topics such as edge devices, edge analytics, and edge security.
This course explores the paradigm of processing data closer to the source of data generation, known as edge computing. Topics include edge devices, edge analytics, fog computing, edge security, and real-time data processing at the network edge.
Introduction to Edge Computing
Edge Devices and Sensors
Edge Computing Architectures: Fog Computing, Mobile Edge Computing (MEC)
Edge Analytics and Machine Learning at the Edge
Real-Time Data Processing and Stream Processing
Edge Security and Privacy Concerns
Edge-to-Cloud Integration Strategies
Edge Computing Platforms and Frameworks
Edge Computing Use Cases: Industrial IoT, Smart Cities, Autonomous Vehicles
Future Trends and Challenges in Edge Computing