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

Bo Jun Qiu*, Jyh Cheng Chen, Falko Dressler

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

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.

原文English
主出版物標題2023 IEEE 24th International Conference on High Performance Switching and Routing, HPSR 2023
發行者IEEE Computer Society
頁面146-152
頁數7
ISBN(電子)9781665476409
DOIs
出版狀態Published - 2023
事件24th IEEE International Conference on High Performance Switching and Routing, HPSR 2023 - Albuquerque, 美國
持續時間: 5 6月 20237 6月 2023

出版系列

名字IEEE International Conference on High Performance Switching and Routing, HPSR
2023-June
ISSN(列印)2325-5595
ISSN(電子)2325-5609

Conference

Conference24th IEEE International Conference on High Performance Switching and Routing, HPSR 2023
國家/地區美國
城市Albuquerque
期間5/06/237/06/23

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