Task caching in vehicular edge computing

Tang，Chaogang1,2; Zhu，Chunsheng3,4; Wei，Xianglin5; Li，Qing6; Rodrigues，Joel J.P.C.7,8

10.1109/INFOCOMWKSHPS51825.2021.9484498

2021

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

978-1-6654-4714-0

IEEE INFOCOM 2021 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

1-6

10-13 May 2021

Vancouver, BC, Canada

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.

Task offloading cache response latency energy consumption vehicular edge computing

通讯

英语

EI

20213410816812

Edge computing ; Energy utilization ; Green computing

Energy Utilization:525.3 ; Computer Software, Data Handling and Applications:723

IEEE

1.China University of Mining and Technology,School of Computer Science and Technology,Xuzhou,221116,China
2.Mine Digitization Engineering Research Center,The Ministry of Education,China University of Mining and Technology,Xuzhou,221116,China
3.Southern University of Science and Technology,Institute of Future Networks,Shenzhen,518055,China
4.PCL Research Center of Networks and Communications,Peng Cheng Laboratory,Shenzhen,Guangdong,518055,China
5.National University of Defense Technology,The 63rd Research Institute,Changsha,410073,China
6.The Hong Kong Polytechnic University,Hong Kong
7.Federal University of Piauí,Teresina,PI,Brazil
8.Instituto de Telecomunicac¸ ˜oes,Portugal

Tang，Chaogang,Zhu，Chunsheng,Wei，Xianglin,et al. Task caching in vehicular edge computing[C],2021:1-6.