Quality, Reliability, Security and Robustness in Heterogeneous Systems. 13th International Conference, QShine 2017, Dalian, China, December 16 -17, 2017, Proceedings

Research Article

An Edge Caching Strategy for Minimizing User Download Delay

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  • @INPROCEEDINGS{10.1007/978-3-319-78078-8_13,
        author={Tianhao Wu and Xi Li and Hong Ji and Heli Zhang},
        title={An Edge Caching Strategy for Minimizing User Download Delay},
        proceedings={Quality, Reliability, Security and Robustness in Heterogeneous Systems. 13th International Conference, QShine 2017, Dalian, China, December 16 -17, 2017, Proceedings},
        proceedings_a={QSHINE},
        year={2018},
        month={4},
        keywords={Edge caching network Content distribution Download delay Hit rate},
        doi={10.1007/978-3-319-78078-8_13}
    }
    
  • Tianhao Wu
    Xi Li
    Hong Ji
    Heli Zhang
    Year: 2018
    An Edge Caching Strategy for Minimizing User Download Delay
    QSHINE
    Springer
    DOI: 10.1007/978-3-319-78078-8_13
Tianhao Wu1,*, Xi Li1,*, Hong Ji1,*, Heli Zhang1,*
  • 1: Beijing University of Posts and Telecommunications
*Contact email: wutianhao@bupt.edu.cn, lixi@bupt.edu.cn, jihong@bupt.edu.cn, zhangheli@bupt.edu.cn

Abstract

In the scenario with many small base stations (SBSs) deployed, edge caching technology could bring contents closer to users by caching files at SBSs. Considering these SBSs with limited storage capacity, how to effectively cache files is a difficult and interesting problem. Many factors should be considered, such as the popularity of files, user download delay and average hit rate. In this paper, we investigate this problem and propose a minimizing user download delay caching (MUDDC) algorithm. It decides which files should be cached and where to cache them for reducing download delay. There is a conflict between hit rate and download delay with the limited SBS storage capacity. We target the average user download delay and model an optimization problem with the constraint of average hit rate and find the optimal solution. The simulation results show that the system performance is improved.