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Energy Aware Edge Computing: A Survey

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High-Performance Computing Applications in Numerical Simulation and Edge Computing (HPCMS 2018, HiDEC 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 913))

Abstract

Edge computing is an emerging paradigm to meet the ever-increasing computation demands from pervasive devices such as sensors, actuators, and smart things. Though the edge devices can execute complex applications, it is necessary for some applications to migrate to centralized servers. By offloading the computation from the edge nodes to the edge servers or cloud servers, the quality of computation experience could be greatly improved. However, it may cause delay and increase network overheads, and energy consumption eventually. Therefore, an optimal offloading strategy should take into account what task should be offloaded, when to offload and where to offload to avoid the overheads. Thus, it is important to tradeoff between energy consumption, computation delay and throughput when the system makes the computation offloading to achieve high energy efficiency. In this paper, we conduct a survey of energy aware edge computing, including the existing work on computation offloading frameworks and strategies in edge computing. Specifically, we describe the strategies from the perspective of energy aware offloading, energy optimization offloading and offloading algorithms.

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Acknowledgments

This work is supported by Natural Science Foundation of China (61472109, 61572163, 61672200, 61602137, and 61802093), Key Research and Development Program of Zhejiang Province (No. 2018C01098, 2019C01059, 2019C03134, 2019C03135) and the Natural Science Foundation of Zhejiang Province (No. LY18F020014).

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Authors and Affiliations

  1. Key Laboratory of Complex Systems Modeling and Simulation, Hangzhou Dianzi University, Hangzhou, 310018, China

    Tiantian Fan, Yeliang Qiu & Congfeng Jiang

  2. School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, China

    Tiantian Fan, Yeliang Qiu & Congfeng Jiang

  3. School of Information and Electronic Engineering, Zhejiang University of Science and Technology, Hangzhou, 310023, China

    Jian Wan

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  1. Tiantian Fan
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  4. Jian Wan
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Correspondence to Congfeng Jiang .

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Editors and Affiliations

  1. University of Science and Technology, Beijing, China

    Changjun Hu

  2. China Institute of Atomic Energy, Beijing, China

    Wen Yang

  3. Hangzhou Dianzi University, Hangzhou, China

    Congfeng Jiang

  4. Computer Science, Texas Tech University, Lubbock, USA

    Dong Dai

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Fan, T., Qiu, Y., Jiang, C., Wan, J. (2019). Energy Aware Edge Computing: A Survey. In: Hu, C., Yang, W., Jiang, C., Dai, D. (eds) High-Performance Computing Applications in Numerical Simulation and Edge Computing. HPCMS HiDEC 2018 2018. Communications in Computer and Information Science, vol 913. Springer, Singapore. https://doi.org/10.1007/978-981-32-9987-0_8

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  • DOI: https://doi.org/10.1007/978-981-32-9987-0_8

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