Joint Optimization of Multi-user Computing Offloading and Service Caching in Mobile Edge Computing

Zhenyu Zhang, Huan Zhou, Dawei Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

This paper jointly considers the optimization of multi-user computing offloading and service caching in Mobile Edge Computing (MEC), and formulates the problem as a Mixed-Integer Non-Linear Program (MINLP), aiming to minimize the task cost of the system. The original problem is decomposed into an equivalent master problem and sub-problem, and a Collaborative Computing Offloading and Resource Allocation Method (CCORAM) is proposed to solve the optimization problem, which includes two low-complexity algorithms. Simulation results show that CCORAM with low time complexity is very close to the optimal method, and performs much better than other benchmark methods.

Original languageEnglish
Title of host publication2021 IEEE/ACM 29th International Symposium on Quality of Service, IWQOS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665414944
DOIs
StatePublished - 25 Jun 2021
Event29th IEEE/ACM International Symposium on Quality of Service, IWQOS 2021 - Virtual, Tokyo, Japan
Duration: 25 Jun 202128 Jun 2021

Publication series

Name2021 IEEE/ACM 29th International Symposium on Quality of Service, IWQOS 2021

Conference

Conference29th IEEE/ACM International Symposium on Quality of Service, IWQOS 2021
Country/TerritoryJapan
CityVirtual, Tokyo
Period25/06/2128/06/21

Keywords

  • Computing Offloading
  • Mobile Edge Computing
  • Multi-user
  • Service Caching

Fingerprint

Dive into the research topics of 'Joint Optimization of Multi-user Computing Offloading and Service Caching in Mobile Edge Computing'. Together they form a unique fingerprint.

Cite this