Towards application-driven task offloading in edge computing based on deep reinforcement learning

doi:10.3390/mi12091011

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	Towards application-driven task offloading in edge computing based on deep reinforcement learning
	M. Sun; T. Bao; D. Xie; H. Lv and G. Si
	2021
发表期刊	Micromachines
ISSN	2072666X
卷号	12 期号:9
摘要	Edge computing is a new paradigm, which provides storage, computing, and network resources between the traditional cloud data center and terminal devices. In this paper, we concentrate on the application-driven task offloading problem in edge computing by considering the strong dependencies of sub-tasks for multiple users. Our objective is to joint optimize the total delay and energy generated by applications, while guaranteeing the quality of services of users. First, we formulate the problem for the application-driven tasks in edge computing by jointly considering the delays and the energy consumption. Based on that, we propose a novel Application-driven Task Offloading Strategy (ATOS) based on deep reinforcement learning by adding a preliminary sorting mechanism to realize the joint optimization. Specifically, we analyze the characteristics of application-driven tasks and propose a heuristic algorithm by introducing a new factor to determine the processing order of parallelism sub-tasks. Finally, extensive experiments validate the effectiveness and reliability of the proposed algorithm. To be specific, compared with the baseline strategies, the total cost reduction by ATOS can be up to 64.5% on average. 2021 by the authors. Licensee MDPI, Basel, Switzerland.
DOI	10.3390/mi12091011
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收录类别	SCI ; EI
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/65708
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	M. Sun,T. Bao,D. Xie,et al. Towards application-driven task offloading in edge computing based on deep reinforcement learning[J]. Micromachines,2021,12(9).
APA	M. Sun,T. Bao,D. Xie,&H. Lv and G. Si.(2021).Towards application-driven task offloading in edge computing based on deep reinforcement learning.Micromachines,12(9).
MLA	M. Sun,et al."Towards application-driven task offloading in edge computing based on deep reinforcement learning".Micromachines 12.9(2021).

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