ICNGC 2025 The 11th International Conference on Next Generation Computing 2025 (2025.12)바로가기
페이지
pp.132-135
저자
Chunggeon Song, Heonchang Yu, Joon-Min Gil
언어
영어(ENG)
URL
https://www.earticle.net/Article/A478478
원문정보
초록
영어
Existing simulators for performance analysis of resource management techniques in edge computing have a limitation: they lack horizontal management features such as inter-server clustering and container registry placement. To address this issue, this paper proposes EdgeNet, a new simulator specialized for modeling of network overhead and server clustering algorithm in edge computing environments. EdgeNet provides a Python library that can be used to develop leader election algorithms for clustered server groups, facilitating research into horizontal resource management approaches that were previously difficult to study.
목차
Abstract I. INTRODUCTION II. RELATED WORKS A. Cloud Service and Edge Computing B. Simulator for Edge Computing III. PROPOSED SIMULATOR A. Main Components and Key Features of EdgeNet B. Data Model of EdgeNet C. Performance Evaluation of Registry Deployment Using EdgeNet IV. CONCLUSION Acknowledgment REFERENCES