Exploring Edge Computing: Value, Architectures, Solutions, and Development
 
Overview: Edge computing has emerged as a transformative technology that brings computation and data storage closer to the source of data generation. This course aims to provide participants with valuable insights into the added value of edge computing, typical solution architectures, hardware and software solutions, and a practical example on developing edge client logic. Participants will gain a deeper understanding of how edge computing can enhance performance, security, and scalability in distributed systems.
 
Session Breakdown:
Introduction to Edge Computing (10 minutes)
Added Value of Edge Computing (15 minutes)
Typical Solution Architectures (15 minutes)
Hardware and Software Solutions (15 minutes)
Hands-on Example: Developing Edge Client Logic (15 minutes)
 
Key Learning Objectives:
Understand the concept of edge computing and its significance in modern distributed computing environments.
Explore the added value of edge computing in terms of latency reduction, bandwidth optimization, and data privacy.
Learn about typical solution architectures for edge computing, including cloud-edge integration and fog computing.
Identify hardware and software solutions commonly used in edge computing deployments, such as edge devices, edge gateways, and edge computing platforms.
Gain practical experience in developing edge client logic through a hands-on example.