Computation Offloading With Instantaneous Load Billing for Mobile Edge Computing

doi:10.1109/TSC.2020.2996764

	Computation Offloading With Instantaneous Load Billing for Mobile Edge Computing
	Gao, Mingjin 1,2; Shen, Rujing 1,2,3; Li, Jun 4,5; Yan, Shihao 6; Li, Yonghui 7,8; Shi, Jinglin 1,2; Han, Zhu 9,10; Zhuo, Li 11
	2022-05-01
发表期刊	IEEE TRANSACTIONS ON SERVICES COMPUTING
ISSN	1939-1374
卷号	15 期号:3 页码:1473-1485
摘要	Mobile edge computing (MEC) is a promising approach that can reduce the latency of task processing by offloading tasks from user equipments (UEs) to MEC servers. Existing works always assume that the MEC server is capable of executing the offloaded tasks, without considering the impact of improper load on task processing efficiency. In this article, we present a two-stage computing offloading scheme to minimize the task processing delay while managing the server load properly. To minimize the task processing delay, each UE optimizes how much workload to be offloaded to the MEC server. To improve the task processing efficiency of the server, we arrange the processing order of offloading tasks by introducing an aggregative game with an instantaneous load billing mechanism. The proposed game can obtain the optimal task offloading and processing strategy with limited information and a small number of iterations. Simulation results show that our scheme approaches the optimal offloading strategy in terms of minimizing task processing delay for each UE and improving processing efficiency for the server.
关键词	Task analysis Servers Games Delays Edge computing Cloud computing Energy consumption Mobile edge computing computation offloading aggregative game instantaneous load billing
DOI	10.1109/TSC.2020.2996764
收录类别	SCI
语种	英语
资助项目	National Key RD Program[2019YFB1803303] ; National Key RD Program[2018YFB1004800] ; Natural Science Foundation of Beijing, China[L172049] ; Natural Science Foundation of China[61727802] ; Natural Science Foundation of China[61872184] ; Natural Science Foundation of China[61531006] ; US MURI AFOSR MURI[18RT0073] ; NSF[EARS-1839818] ; NSF[CNS1717454] ; NSF[CNS-1731424] ; NSF[CNS-1702850]
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering
WOS记录号	WOS:000812532400024
出版者	IEEE COMPUTER SOC
引用统计	被引频次：34[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/19529
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Li, Jun
作者单位	1.Chinese Acad Sci, Inst Comp Technol, Beijing 100864, Peoples R China 2.Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Nanjing Univ Sci & Technol, Sch Elect & Opt Engn, Nanjing 210094, Peoples R China 5.Natl Res Tomsk Polytech Univ, Sch Comp Sci & Robot, Tomsk 634050, Russia 6.Macquarie Univ, Sch Engn, Sydney, NSW 2109, Australia 7.Univ Sydney, Camperdown, NSW 2006, Australia 8.Pengcheng Lab, Shenzhen 518066, Peoples R China 9.Univ Houston, Houston, TX 77004 USA 10.Kyung Hee Univ, Dept Comp Sci & Engn, Seoul 446701, South Korea 11.Beijing Univ Technol, Beijing 100124, Peoples R China
推荐引用方式 GB/T 7714	Gao, Mingjin,Shen, Rujing,Li, Jun,et al. Computation Offloading With Instantaneous Load Billing for Mobile Edge Computing[J]. IEEE TRANSACTIONS ON SERVICES COMPUTING,2022,15(3):1473-1485.
APA	Gao, Mingjin.,Shen, Rujing.,Li, Jun.,Yan, Shihao.,Li, Yonghui.,...&Zhuo, Li.(2022).Computation Offloading With Instantaneous Load Billing for Mobile Edge Computing.IEEE TRANSACTIONS ON SERVICES COMPUTING,15(3),1473-1485.
MLA	Gao, Mingjin,et al."Computation Offloading With Instantaneous Load Billing for Mobile Edge Computing".IEEE TRANSACTIONS ON SERVICES COMPUTING 15.3(2022):1473-1485.