Integration of FogBus2 Framework with Container Orchestration Tools in Cloud and Edge Computing Environments
Zhiyu Wang, Rajkumar Buyya

TL;DR
This paper presents a method to integrate the lightweight FogBus2 framework with container orchestration tools like Kubernetes and K3s, enabling effective container management in hybrid cloud and edge/fog computing environments.
Contribution
It introduces a hybrid clustering approach using K3s and three deployment patterns for FogBus2, addressing connectivity and management challenges in edge-cloud systems.
Findings
Successful integration of FogBus2 with K3s for hybrid environments
Three deployment patterns enable flexible FogBus2 deployment
Improved container orchestration stability in edge environments
Abstract
Currently, due to the advantages of light weight, simple deployment, multi-environment support, short startup time, scalability, and easy migration, container technology has been widely used in both cloud and edge/fog computing, and addresses the problem of device heterogeneity in different computing environments. On this basis, as one of the most popular container orchestration and management systems, Kubernetes almost dominates the cloud environment. However, since it is primarily designed for centralized resource management scenarios where computing resources are sufficient, the system is unstable in edge environments due to hardware limitations. Therefore, in order to realize container orchestration in the cloud and edge/fog hybrid computing environment, we propose a feasible approach to build a hybrid clustering based on K3s, which solves the problem that virtual instances in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCloud Computing and Resource Management · IoT and Edge/Fog Computing · Distributed and Parallel Computing Systems
