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Data Security Aware and Effective Task Offloading Strategy in Mobile Edge Computing

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Abstract

With the research and development of 5G technology, emerging markets such as Wise Information Technology of med, smart transportation and industrial Internet are gradually growing, which not only provide convenience to people’s life, but also put forward increasingly urgent demand for efficient parallel and distributed technologies. Therefore, in order to meet the need of high computing amount for application diversification, this paper proposes a novel scheduling solution with data security, aiming at simultaneously optimizing the system response time and the user’s energy consumption. First, we model the scheduling problem in a mobile edge computing (MEC) environment as a Markov decision process (MDP) problem, and a three-tier collaboration model considering data security in the MEC environment is constructed. Second, the system response time and the energy consumption are simultaneously optimized in this paper, with objective weights which change in real-time. At the same time, load balancing at the edge layer is considered. Third, a deep reinforcement learning (DRL)-based secure offloading (DRLSO) algorithm is given as the solution for the research problem. In experiments from multiple angles, the proposed algorithm has good performance.

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Acknowledgements

The authors thank the editor and reviewers for their insightful comments and valuable suggestions

Funding

This work was supported by the Program of National Natural Science Foundation of China (grant No. 62072174, 61502165), Outstanding Youth of Hunan Province (grant No. 2023JJ10030), National Natural Science Foundation of Hunan Province, China (grant No. 2022JJ40278, 2020JJ5370), Scientific Research Fund of Hunan Provincial Education Department, China (Grant No. 22A0026)

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Authors and Affiliations

  1. College of Information Science and Engineering, Hunan Normal University, Changsha, 410012, China

    Zhao Tong, Bilan Liu, Jing Mei & Jiake Wang

  2. College of Information and Communication Engineering, Hunan Institute of Science and Technology, Yueyang, 414006, China

    Xin Peng

  3. Department of Computer Science, State University of New York New Paltz, New York, 12561, USA

    Keqin Li

Authors
  1. Zhao Tong
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  2. Bilan Liu
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  3. Jing Mei
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  4. Jiake Wang
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  5. Xin Peng
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  6. Keqin Li
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Contributions

Zhao Tong contributed to the conception of the study and wrote fifty percentage of the manuscript. Bilan Liu wrote fifty percentage of the manuscript, performed modeling design and construction, and also conducted part of the experiment. Jing Mei contributed significantly to the conception, analysis and algorithms design of the study. Jiake Wang performed the data analyses and English grammar checking. Xin Peng helped perform the analysis with constructive discussions. Keqin Li helped improve the English grammar and checked spelling

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Correspondence to Zhao Tong.

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Tong, Z., Liu, B., Mei, J. et al. Data Security Aware and Effective Task Offloading Strategy in Mobile Edge Computing. J Grid Computing 21, 41 (2023). https://doi.org/10.1007/s10723-023-09673-y

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