원문정보
한국차세대컴퓨팅학회
한국차세대컴퓨팅학회 학술대회
ICNGC 2025 The 11th International Conference on Next Generation Computing 2025
2025.12
pp.132-135
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보
