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Computation Offloading With Instantaneous Load Billing for Mobile Edge Computing

文献类型：期刊论文

作者Gao, Mingjin3,4; Shen, Rujing3,4,5; Li, Jun1,6; Yan, Shihao8; Li, Yonghui9,10; Shi, Jinglin3,4; Han, Zhu7,11; Zhuo, Li2
刊名IEEE TRANSACTIONS ON SERVICES COMPUTING
出版日期2022-05-01
卷号15期号:3页码:1473-1485
关键词Task analysis Servers Games Delays Edge computing Cloud computing Energy consumption Mobile edge computing computation offloading aggregative game instantaneous load billing
ISSN号1939-1374
DOI10.1109/TSC.2020.2996764
英文摘要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.
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
语种英语
WOS记录号WOS:000812532400024
出版者IEEE COMPUTER SOC
源URL[http://119.78.100.204/handle/2XEOYT63/19528]  
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.Natl Res Tomsk Polytech Univ, Sch Comp Sci & Robot, Tomsk 634050, Russia
2.Beijing Univ Technol, Beijing 100124, Peoples R China
3.Chinese Acad Sci, Inst Comp Technol, Beijing 100864, Peoples R China
4.Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100190, Peoples R China
5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
6.Nanjing Univ Sci & Technol, Sch Elect & Opt Engn, Nanjing 210094, Peoples R China
7.Kyung Hee Univ, Dept Comp Sci & Engn, Seoul 446701, South Korea
8.Macquarie Univ, Sch Engn, Sydney, NSW 2109, Australia
9.Univ Sydney, Camperdown, NSW 2006, Australia
10.Pengcheng Lab, Shenzhen 518066, 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.

入库方式： OAI收割

来源：计算技术研究所

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