Multi-objective task offloading strategy based on partial computing resource optimization in edge computing of Internet of Vehicles

Lijuan Li; Yanqiang Li; Yong Wang; Xinhao Lin; Zhibang Zhong

doi:10.1117/12.2689477

7 September 2023 Multi-objective task offloading strategy based on partial computing resource optimization in edge computing of Internet of Vehicles

Lijuan Li, Yanqiang Li, Yong Wang, Xinhao Lin, Zhibang Zhong

Author Affiliations +

Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 1279024 (2023) https://doi.org/10.1117/12.2689477
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China

Abstract

Mobile edge computing (MEC) is a promising paradigm for offloading compute-intensive services on vehicles to alleviate the problem of limited resources in the vehicles themselves. However, since the vehicle network involves multiple edge servers, MEC is facing the dilemma of how to fully utilize the edge resources to achieve the maximum benefit. In this paper, we aim to analyze MEC task offloading strategies from a multi-objective optimization perspective by considering independent partitionable computational tasks, and an MEC communication and computation offloading framework is constructed. A partial computational resource optimization (PCRO) algorithm is proposed, which jointly considers computational resource allocation and unit price adjustment to achieve minimum cost for vehicle users and maximum profit for edge servers. Extensive experimental results demonstrate the effectiveness of our proposed PCRO algorithm.

Citation Download Citation

Lijuan Li, Yanqiang Li, Yong Wang, Xinhao Lin, and Zhibang Zhong "Multi-objective task offloading strategy based on partial computing resource optimization in edge computing of Internet of Vehicles", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 1279024 (7 September 2023); https://doi.org/10.1117/12.2689477

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