Offloading strategy in internet of vehicle based on edge cache

Feng Huang; XueHua Song; Jinyu Xu; Xiaoming Jiang; Di Fang

doi:10.1117/12.2636534

8 May 2022 Offloading strategy in internet of vehicle based on edge cache

Feng Huang, XueHua Song, Jinyu Xu, Xiaoming Jiang, Di Fang

Proceedings Volume 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）; 1224943 (2022) https://doi.org/10.1117/12.2636534
Event: 2022 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 2022, Xiamen, China

Abstract

To reduce the delay of task offloading in edge computing of the internet of vehicle and adapt the delay sensitivity and task repeatability of vehicle network, this paper presents a task offloading algorithm which utilizes the edge cache. When a task uploaded to the edge server and get corresponding results, Edge server evaluate factors including task total latency, size of result and popularity of the task to decide store the result in edge caching or not. If it is determined to be yes ,the following same task uploaded to the edge server will get the result from edge cache directly, reducing calculate delay of the task and operating cost of the entire system. The simulations show that this algorithm can reduce the latency and improve the availability of edge caching. In the ideal case. Compared with the original algorithm, the proposed algorithm can save 49% of the average latency and improve 31% availability of edge cache.

Citation Download Citation

Feng Huang, XueHua Song, Jinyu Xu, Xiaoming Jiang, and Di Fang "Offloading strategy in internet of vehicle based on edge cache", Proc. SPIE 12249, 2nd International Conference on Internet of Things and Smart City (IoTSC 2022）, 1224943 (8 May 2022); https://doi.org/10.1117/12.2636534

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