Distributed Task Offloading in Cooperative Mobile Edge Computing Networks

doi:10.1109/TVT.2024.3363034

	Distributed Task Offloading in Cooperative Mobile Edge Computing Networks
	Wang, Dandan1 ; Zhu, Hongbin 2; Qiu, Chenyang1 ; Zhou, Yong1 ; Lu, Jie1
	2024
发表期刊	IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (IF:6.1[JCR-2023],6.5[5-Year])
ISSN	1939-9359
EISSN	1939-9359
卷号	PP 期号:99 页码:1-15
发表状态	已发表
DOI	10.1109/TVT.2024.3363034
摘要	Mobile edge computing (MEC) has been advocated as a promising technique to handle computation-intensive and delay-sensitive mobile tasks at edge servers. However, the disparate computing resource distribution among edge servers and the high communication and computation cost make it very challenging to find an efficient task offloading decision. This paper considers a task offloading problem with constraints over a cooperative MEC network, where multiple edge servers and a cloud center collaboratively process tasks received from mobile devices. We formulate such a cooperative task offloading problem as a general convex constrained optimization problem. Different from existing models that focus on a single performance measure, our problem formulation can represent diverse performance metrics, such as service latency, energy consumption, and a combination of both. Moreover, in addition to standard linear constraints, we consider nonlinear inequality constraints owing to resource limitations or delay requirements. To solve the formulated convex optimization problem, we develop a novel distributed algorithm based on gradient projection and virtual queue techniques. The proposed distributed algorithm enables each edge server to compute its task offloading decision via local communications only, which does not require any central processors with possible communication/computation bottlenecks. We show that the proposed algorithm converges to the optimal workload allocation decision at a sublinear rate. Simulations verify the efficiency of the proposed algorithm and demonstrate that it has lower computational complexity than the baseline algorithms. IEEE
关键词	Distributed optimization edge server cooperation mobile edge computing task offloading
URL	查看原文
收录类别	EI ; SCI
语种	英语
资助项目	Shanghai Sailing Program[23YF1402600]
WOS研究方向	Engineering ; Telecommunications ; Transportation
WOS类目	Engineering, Electrical & Electronic ; Telecommunications ; Transportation Science & Technology
WOS记录号	WOS:001277925700129
出版者	Institute of Electrical and Electronics Engineers Inc.
EI入藏号	20240715545585
EI主题词	Energy utilization
EI分类号	525.3 Energy Utilization ; 722.4 Digital Computers and Systems ; 723 Computer Software, Data Handling and Applications ; 731.2 Control System Applications ; 911 Cost and Value Engineering ; Industrial Economics ; 912.2 Management ; 961 Systems Science
原始文献类型	Article in Press
来源库	IEEE
引用统计	正在获取...
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/349745
专题	信息科学与技术学院信息科学与技术学院_PI研究组_陆疌组信息科学与技术学院_PI研究组_周勇组信息科学与技术学院_硕士生信息科学与技术学院_博士生
通讯作者	Lu, Jie
作者单位	1.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 2.Institute of FinTech, Fudan University, Shanghai, China
第一作者单位	信息科学与技术学院
通讯作者单位	信息科学与技术学院
第一作者的第一单位	信息科学与技术学院
推荐引用方式 GB/T 7714	Wang, Dandan,Zhu, Hongbin,Qiu, Chenyang,et al. Distributed Task Offloading in Cooperative Mobile Edge Computing Networks[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2024,PP(99):1-15.
APA	Wang, Dandan,Zhu, Hongbin,Qiu, Chenyang,Zhou, Yong,&Lu, Jie.(2024).Distributed Task Offloading in Cooperative Mobile Edge Computing Networks.IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,PP(99),1-15.
MLA	Wang, Dandan,et al."Distributed Task Offloading in Cooperative Mobile Edge Computing Networks".IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY PP.99(2024):1-15.