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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

Edge Server Deployment Approach Based on Uniformity and Centrality

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BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-54521-4_6,
        author={Xinghong Jiang and Yong Ma and Yunni Xia and Qilin Xie and Wenxin Jian},
        title={Edge Server Deployment Approach Based on Uniformity and Centrality},
        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 Service scope expansion Deployment Intersection centrality},
        doi={10.1007/978-3-031-54521-4_6}
    }
    
  • Xinghong Jiang
    Yong Ma
    Yunni Xia
    Qilin Xie
    Wenxin Jian
    Year: 2024
    Edge Server Deployment Approach Based on Uniformity and Centrality
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-031-54521-4_6
Xinghong Jiang1, Yong Ma1,*, Yunni Xia2, Qilin Xie1, Wenxin Jian3
  • 1: School of Computer and Information Engineering, Jiangxi Normal University
  • 2: School of Computer Science
  • 3: School of Digital Industry, Jiangxi Normal University
*Contact email: may@jxnu.edu.cn

Abstract

In mobile Internet applications that support edge computing, the deployment scheme of edge servers affects the business operation state. Traditional edge servers are deployed on base stations, which do not fully extend the service range of edge servers, resulting in difficult access to edge services. Therefore, this paper proposes the Edge Server Deployment Approach Based on Uniformity and Centrality (ESDA-UC). ESDA-UC considers intersections as candidate deployment locations for edge servers, taking into account traffic density and road network structure. Connection centrality, between centrality, base station centrality, and traffic density are used as the main factors. The intersection centrality of each intersection is calculated as the selection criteria for the deployment location. To avoid concentrating the coverage of edge servers in developed regions of the city, we allocate the number of edge servers according to regional importance. Finally, the improved greedy algorithm is utilized to generate a deployment plan for edge servers. Experiments show that ESDA-UC has higher base station coverage, vehicle coverage, and vehicle coverage time ratios compared to the baseline method.

Keywords
Edge computing Service scope expansion Deployment Intersection centrality
Published
2024-02-23
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-54521-4_6
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