TSOA: Two-State Offloading Algorithm from Users to Co-Located Vehicular Microclouds

Bo Jun Qiu*, Jyh Cheng Chen, Falko Dressler

*Corresponding author for this work

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

Abstract

Offloading in edge computing scenarios is considered a prime solution to reduce computational time and also energy resources of the user equipment. This paper focuses on computation offloading from the user equipment to co-located vehicular microclouds. We derive the closed-form system metrics and cross-validate them with simulations. Through a comprehensive observation of vehicular microcloud behavior, the proposed two-state offloading algorithm (TSOA) provides the optimal offloading configuration in both planning and operating states. Finally, our evaluation demonstrates that the proposed TSOA performs optimally among the three offloading schemes.

Original languageEnglish
Title of host publication2023 IEEE 24th International Conference on High Performance Switching and Routing, HPSR 2023
PublisherIEEE Computer Society
Pages146-152
Number of pages7
ISBN (Electronic)9781665476409
DOIs
StatePublished - 2023
Event24th IEEE International Conference on High Performance Switching and Routing, HPSR 2023 - Albuquerque, United States
Duration: 5 Jun 20237 Jun 2023

Publication series

NameIEEE International Conference on High Performance Switching and Routing, HPSR
Volume2023-June
ISSN (Print)2325-5595
ISSN (Electronic)2325-5609

Conference

Conference24th IEEE International Conference on High Performance Switching and Routing, HPSR 2023
Country/TerritoryUnited States
CityAlbuquerque
Period5/06/237/06/23

Keywords

  • 5G Application
  • Computation Offloading
  • Edge Computing
  • Vehicular Microcloud

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