Joint caching and computing resource allocation for task offloading in vehicular networks

doi:10.1049/iet-com.2020.0100

	Joint caching and computing resource allocation for task offloading in vehicular networks
	Wang, Zhi 1,2,3; Hou, Ronghui 2,3
刊名	IET COMMUNICATIONS
	2020-12-22
卷号	14 期号:21 页码:3820-3827
关键词	cellular radio cloud computing optimisation resource allocation cache storage linear programming mobile computing nonlinear programming integer programming joint caching computing resource future vehicular networks computation intensive efficient content caching strategy computation resource allocation strategy mobile edge computing servers MEC caching content maximising caching performance caching capacity balanced caching strategy efficient caching strategy
ISSN号	1751-8628
DOI	10.1049/iet-com.2020.0100
英文摘要	To meet the requirement of constrained delay and computation resource of the future vehicular networks, it is imperative to develop efficient content caching strategy and computation resource allocation strategy in mobile edge computing (MEC) servers. In the proposed network framework, since the caching capacity and computing resource of each MEC are limited, and the coverage areas of MECs are overlapped, the vehicular networks have to decide what contents to cache, how to offload tasks and how much computing resource needs to be allocated for each task. In this study, in order to jointly tackle these issues, we formulate caching strategy, offloading decision and computing resource allocation coordinately as a mixed integer non-linear programming (MINLP) problem. To solve the MINLP problem, we divide it into two subproblems. Firstly, we investigate a balanced and efficient caching strategy based on similarity in vehicular networks. Secondly, we apply McCormick Envelopes to convert MINLP problem into LP problem, and then adopt improved branch and bound algorithm to obtain the optimal offloading decision and computing resource allocation strategy. Simulation results indicate that the proposed schemes have a good performance in reducing economic cost under the deadline of each task.
资助项目	National Natural Science Foundation of China[61571351] ; State Key Laboratory of Computer Architecture (ICT, CAS)[CARCH201904] ; Major Research plan of the Shaanxi Science Foundation of China[2019ZDLGY12-08] ; 111 project[B16037] ; [ZD2004]
WOS研究方向	Engineering
语种	英语
出版者	WILEY
WOS记录号	WOS:000621654900011
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/16215]
专题	中国科学院计算技术研究所
通讯作者	Hou, Ronghui
作者单位	1.Xiaomi Commun Co Ltd, Beijing, Peoples R China 2.Xidian Univ, Sch Cyber Engn, Xian, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wang, Zhi,Hou, Ronghui. Joint caching and computing resource allocation for task offloading in vehicular networks[J]. IET COMMUNICATIONS,2020,14(21):3820-3827.
APA	Wang, Zhi,&Hou, Ronghui.(2020).Joint caching and computing resource allocation for task offloading in vehicular networks.IET COMMUNICATIONS,14(21),3820-3827.
MLA	Wang, Zhi,et al."Joint caching and computing resource allocation for task offloading in vehicular networks".IET COMMUNICATIONS 14.21(2020):3820-3827.