Demo: End-to-End Service Quality Manager for Edge Computing

Effective service quality management is essential for leveraging the advantages of edge computing, which prioritizes localized data processing to minimize latency and improve efficiency. This paper presents an End-to-End Edge Service Quality Manager, a platform designed to ensure efficient monitoring, analysis, planning, and timely execution of data-driven decision-making to guarantee service quality in edge computing. Furthermore, the platform may be seamlessly deployed and utilized in various deployment scenarios, including emulated, laboratory, and real-world environments, supporting the entire life cycle of an edge application, from development through experimentation, testing, and runtime.