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

共 50 条

[11] INTELLIGENT TASK OFFLOADING IN VEHICULAR EDGE COMPUTING NETWORKS
Guo, Hongzhi
Liu, Jiajia
Ren, Ju
Zhang, Yanning
IEEE WIRELESS COMMUNICATIONS, 2020, 27 (04) : 126 - 132
[12] A Survey on Task Offloading Research in Vehicular Edge Computing
Li Z.-Y.
Wang Q.
Chen Y.-F.
Xie G.-Q.
Li R.-F.
Jisuanji Xuebao/Chinese Journal of Computers, 2021, 44 (05): : 963 - 982
[13] Joint caching and computing resource allocation for task offloading in vehicular networks
Wang, Zhi
Hou, Ronghui
IET COMMUNICATIONS, 2020, 14 (21) : 3820 - 3827
[14] Low-latency Caching with Auction Game in Vehicular Edge Computing
Wang, Siming
Zhang, Zehang
Yu, Rong
Zhang, Yan
2017 IEEE/CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA (ICCC), 2017, : 980 - 985
[15] Collaborative Task Offloading in Vehicular Edge Computing Networks
Sun, Geng
Zhang, Jiayun
Sun, Zemin
He, Long
Li, Jiahui
2022 IEEE 19TH INTERNATIONAL CONFERENCE ON MOBILE AD HOC AND SMART SYSTEMS (MASS 2022), 2022, : 592 - 598
[16] An efficient task offloading scheme in vehicular edge computing
Raza, Salman
Liu, Wei
Ahmed, Manzoor
Anwar, Muhammad Rizwan
Mirza, Muhammad Ayzed
Sun, Qibo
Wang, Shangguang
JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, 2020, 9 (01):
[17] An efficient task offloading scheme in vehicular edge computing
Salman Raza
Wei Liu
Manzoor Ahmed
Muhammad Rizwan Anwar
Muhammad Ayzed Mirza
Qibo Sun
Shangguang Wang
Journal of Cloud Computing, 9
[18] A Collaborative Task Offloading Scheme in Vehicular Edge Computing
Bute, Muhammad Saleh
Fan, Pingzhi
Liu, Gang
Abbas, Fakhar
Ding, Zhiguo
2021 IEEE 93RD VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-SPRING), 2021,
[19] Fully Distributed Task Offloading in Vehicular Edge Computing
Ma, Qianpiao
Xu, Hongli
Wang, Haibo
Xu, Yang
Jia, Qingmin
Qiao, Chunming
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2024, 73 (04) : 5630 - 5646
[20] MobiCache: A Mobility-aware Caching technique in Vehicular Edge Computing
Sethi, Vivek
Pal, Sujata
PROCEEDINGS OF THE 2022 THE 28TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING, ACM MOBICOM 2022, 2022, : 868 - 870

← 1 2 3 4 5 →