中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Towards application-driven task offloading in edge computing based on deep reinforcement learning

文献类型:期刊论文

作者M. Sun; T. Bao; D. Xie; H. Lv and G. Si
刊名Micromachines
出版日期2021
卷号12期号:9
ISSN号2072666X
DOI10.3390/mi12091011
英文摘要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.
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源URL[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).

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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