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Resource Cooperative Scheduling Optimization Considering Security in Edge Mobile Networks

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Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2023)

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Abstract

With the rapid development of technologies such as the Internet of Things and artificial intelligence, the contradiction between limited user computing resources and real-time, fast, and safe processing of large amounts of data has become an urgent issue. The emergence of edge computing provides IoT applications with a low-latency, high-bandwidth, and high-performance computing service. Due to the complexity and dynamics of the edge computing environment itself, and the limited resources of the terminal, the security issue of resource collaborative scheduling in the edge mobile network has become an important research topic. Different from existing work, this paper proposes an efficient and secure multi-user resource cooperative scheduling model, which comprehensively considers resource allocation, task offloading, QoE requirements, and data security. In the model, ChaCha20 encryption technology is introduced as a security mechanism to prevent data from being maliciously stolen by attackers during the offloading process, and computing speed is used as an indicator to quantify QoE requirements. A resource collaborative scheduling algorithm that integrates security mechanisms and computing acceleration is also proposed to minimize the total cost of optimizing the edge computing system. Finally, the effectiveness and superiority of the model and algorithm are verified by simulation experiments.

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Acknowledgments

This work was supported in part by the Consulting Project of Chinese Academy of Engineering under Grant 2023-XY-09, the National Natural Science Foundation of China under Grant 62272100, and in part by the Fundamental Research Funds for the Central Universities and the Academy-Locality Cooperation Project of Chinese Academy of Engineering under Grant JS2021ZT05.

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Authors and Affiliations

  1. Key Laboratory of Computer Network and Information Integration, Southeast University, Ministry of Education, Nanjing, China

    Cheng Fang, Peng Yang, Meng Yi, Miao Du & Bing Li

  2. School of Computer Science and Engineering, Southeast University, Nanjing, China

    Peng Yang, Meng Yi, Miao Du & Bing Li

  3. School of Cyber Science and Engineering, Southeast University, Nanjing, China

    Cheng Fang

Authors
  1. Cheng Fang
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  2. Peng Yang
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  3. Meng Yi
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  4. Miao Du
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  5. Bing Li
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Corresponding author

Correspondence to Peng Yang .

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Editors and Affiliations

  1. Shanghai University, Shanghai, China

    Honghao Gao

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

    Xinheng Wang

  3. University of Peloponnese, Patra, Greece

    Nikolaos Voros

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© 2024 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Fang, C., Yang, P., Yi, M., Du, M., Li, B. (2024). Resource Cooperative Scheduling Optimization Considering Security in Edge Mobile Networks. In: Gao, H., Wang, X., Voros, N. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 561. Springer, Cham. https://doi.org/10.1007/978-3-031-54521-4_4

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  • DOI: https://doi.org/10.1007/978-3-031-54521-4_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-54520-7

  • Online ISBN: 978-3-031-54521-4

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