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Service capacity enhanced task offloading and resource allocation in multi-server edge computing environment

  • Wei Du
  • , Tao Lei
  • , Qiang Het
  • , Wei Liu
  • , Qiwang Lei
  • , Hailiang Zhao
  • , Wei Wang
  • Wuhan University of Technology
  • Hubei Key Laboratory of Transportation Internet of Things
  • Swinburne University of Technology

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

An edge computing environment features multiple edge servers and multiple service clients. In this environment, mobile service providers can offload client-side computation tasks from service clients' devices onto edge servers to reduce service latency and power consumption experienced by the clients. A critical issue that has yet to be properly addressed is how to allocate edge computing resources to achieve two optimization objectives: 1) minimize the service cost measured by the service latency and the power consumption experienced by service clients; and 2) maximize the service capacity measured by the number of service clients that can offload their computation tasks in the long term. This paper formulates this long-term problem as a stochastic optimization problem and solves it with an online algorithm based on Lyapunov optimization. This NPhard problem is decomposed into three sub-problems, which are then solved with a suite of techniques. The experimental results show that our approach significantly outperforms two baseline approaches.

源语言英语
主期刊名Proceedings - 2019 IEEE International Conference on Web Services, ICWS 2019 - Part of the 2019 IEEE World Congress on Services
编辑Elisa Bertino, Carl K. Chang, Peter Chen, Ernesto Damiani, Ernesto Damiani, Michael Goul, Katsunori Oyama
出版商Institute of Electrical and Electronics Engineers Inc.
83-90
页数8
ISBN(电子版)9781728127170
DOI
出版状态已出版 - 7月 2019
活动26th IEEE International Conference on Web Services, ICWS 2019 - Milan, 意大利
期限: 8 7月 201913 7月 2019

出版系列

姓名Proceedings - 2019 IEEE International Conference on Web Services, ICWS 2019 - Part of the 2019 IEEE World Congress on Services

会议

会议26th IEEE International Conference on Web Services, ICWS 2019
国家/地区意大利
Milan
时期8/07/1913/07/19

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