IMCL Edge Computing

Summary

Edge computing research in IMCL can be summarized in two directions:

Collaborative Scheduling for Edge Computing: We study and propose scheduling solutions for different resource management problems in edge computing, including task partitioning and offloading, data dissemination, etc. We are also working on developing EdgeOS services to support collaborative scheduling for jointly managing resources in distributed edge computing environments.
Distributed Edge Intelligence for AI-empowered Applications: On top of EdgeOS, we develop solutions for distributed training and inference on resource-constrained edge devices. We are also developing a real prototype to test the efficacy of our proposed solutions for applications like collaborative real-time video surveillance.