Task Caching in Vehicular Edge Computing

被引：3

作者：

Tang, Chaogang ^{[1
,2
]}

Zhu, Chunsheng ^{[3
,4
]}

Wei, Xianglin ^{[5
]}

Li, Qing ^{[6
]}

Rodrigues, Joel J. P. C. ^{[7
,8
]}

机构：

[1] China Univ Min & Technol, Sch Comp Sci & Technol, Xuzhou 221116, Jiangsu, Peoples R China

[2] China Univ Min & Technol, Mine Digitizat Engn Res Ctr, Minist Educ, Xuzhou 221116, Jiangsu, Peoples R China

[3] Southern Univ Sci & Technol, Inst Future Networks, Shenzhen 518055, Guangdong, Peoples R China

[4] Peng Cheng Lab, PCL Res Ctr Networks & Commun, Shenzhen 518055, Guangdong, Peoples R China

[5] Natl Univ Def Technol, Res Inst 63, Changsha 410073, Peoples R China

[6] Hong Kong Polytech Univ, Hong Kong, Peoples R China

[7] Univ Fed Piaui, Teresina, PI, Brazil

[8] Inst Telecomunicacoes, Porto, Portugal

来源：

IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (IEEE INFOCOM WKSHPS 2021) | 2021年

基金：

国家重点研发计划;

关键词：

Task offloading; cache; response latency; energy consumption; vehicular edge computing; EFFICIENT; ALLOCATION;

D O I：

10.1109/INFOCOMWKSHPS51825.2021.9484498

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Vehicular edge computing combines mobile edge computing with vehicular ad hoc networks and endeavors to mitigate the workloads of vehicles. Inspired by the content-centric mobile edge caching, we in this paper propose a cache enabled task offloading in the vehicular edge computing in hope to jointly optimize the response delay and the energy consumption at the road side unit. To be specific, both the communication and computation models are refined and a greedy algorithm is then put forward to solve the optimization problem. Numeric results have shown the advantages of the algorithm with regards to response latency and energy consumption in comparison with other related strategies.

引用

页数：6

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