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Computation Offloading for Multi-user Sequential Tasks in Heterogeneous Mobile Edge Computing

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Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2021)

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Abstract

Currently, many computation offloading studies in Mobile Edge Computing (MEC) mainly focus on the multi-user and multi-task offloading, where the tasks are independent and inseparable. However, nowadays many mobile applications, such as Augmented Reality (AR) glasses, face recognition, etc., can be classified into sequential tasks. Dependencies among tasks and resource competition among multiple users in the heterogeneous edge environment make the offloading problem very challenging. In this paper, we propose a new multi-user sequential task (MUST) framework to address the above challenge. Specifically, we present a comprehensive analysis of the time cost of the task offloading process in the MUST framework and define the multi-user sequential task offloading problem. Moreover, we prove the problem is NP-hard and propose a reMUST algorithm based on regular expression to obtain the approximate optimal solution. Numerous experiments have shown that the proposed method is superior to existing alternatives in terms of cost and system scalability.

This work was supported by National Natural Science Foundation of China (Grant Nos. 61972272, U1905211 and 62072321), the Open Project Program of the State Key Laboratory of Mathematical Engineering and Advanced Computing (Grant No. 2019A04), Jiangsu Planned Projects for Postdoctoral Research Funds (Grant No. 1701173B), Jiangsu Overseas Visiting Scholar Program for University Prominent Young & Middle-aged Teachers and Presidents.

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Authors and Affiliations

  1. School of Computer Science and Technology, Soochow University, Suzhou, 215006, China

    Huanhuan Xu, Jingya Zhou & Fei Gu

  2. State Key Laboratory of Mathematical Engineering and Advanced Computing, Wuxi, 214125, China

    Jingya Zhou

Authors
  1. Huanhuan Xu
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  2. Jingya Zhou
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  3. Fei Gu
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Corresponding author

Correspondence to Jingya Zhou .

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Editors and Affiliations

  1. Shanghai University, Shanghai, China

    Honghao Gao

  2. Xi’an Jiaotong-Liverpool University, Suzhou, China

    Xinheng Wang

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Xu, H., Zhou, J., Gu, F. (2021). Computation Offloading for Multi-user Sequential Tasks in Heterogeneous Mobile Edge Computing. In: Gao, H., Wang, X. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 406. Springer, Cham. https://doi.org/10.1007/978-3-030-92635-9_41

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  • DOI: https://doi.org/10.1007/978-3-030-92635-9_41

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-92634-2

  • Online ISBN: 978-3-030-92635-9

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