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Collaborative Computing: Networking, Applications and Worksharing. 19th EAI International Conference, CollaborateCom 2023, Corfu Island, Greece, October 4-6, 2023, Proceedings, Part I

Research Article

Resource Cooperative Scheduling Optimization Considering Security in Edge Mobile Networks

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-54521-4_4,
        author={Cheng Fang and Peng Yang and Meng Yi and Miao Du and Bing Li},
        title={Resource Cooperative Scheduling Optimization Considering Security in Edge Mobile Networks},
        proceedings={Collaborative Computing: Networking, Applications and Worksharing. 19th EAI International Conference, CollaborateCom 2023, Corfu Island, Greece, October 4-6, 2023, Proceedings, Part I},
        proceedings_a={COLLABORATECOM},
        year={2024},
        month={2},
        keywords={Edge Computing Edge Mobile Network Resource Collaborative Scheduling Security Mechanism Computing Acceleration},
        doi={10.1007/978-3-031-54521-4_4}
    }
    
  • Cheng Fang
    Peng Yang
    Meng Yi
    Miao Du
    Bing Li
    Year: 2024
    Resource Cooperative Scheduling Optimization Considering Security in Edge Mobile Networks
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-031-54521-4_4
Cheng Fang1, Peng Yang1,*, Meng Yi1, Miao Du1, Bing Li1
  • 1: Key Laboratory of Computer Network and Information Integration, Southeast University
*Contact email: pengyang@seu.edu.cn

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.

Keywords
Edge Computing Edge Mobile Network Resource Collaborative Scheduling Security Mechanism Computing Acceleration
Published
2024-02-23
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-54521-4_4
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