Cache Hit Ratio Optimization

Cache Hit Ratio Optimization is a caching strategy that systematically enhances the proportion of requested data served from the cache relative to total requests by refining cache management policies, replacement algorithms, or content placement mechanisms to maximize access efficiency and minimize latency.

153

Publications

7.2K

Citations

505

Authors

235

Institutions

Publications per year

2017–2026

77

Authors

505

  1. GF
    Gang Feng

    University of Electronic Science and Technology of China, China

    4 publications · 214 citations

    4

    h-index

  2. XG
    Xiaohu Ge

    Huazhong University of Science and Technology, China

    4 publications · 96 citations

    4

    h-index

  3. JL
    Jun Li

    Nanjing University of Science and Technology, China

    4 publications · 110 citations

    4

    h-index

  4. SQ
    Shuang Qin

    University of Electronic Science and Technology of China, China

    4 publications · 214 citations

    4

    h-index

  5. YJ
    Yanxiang Jiang

    Southeast University, China

    3 publications · 103 citations

    3

    h-index

1–5 of 505

Venues

  1. IEEE Access

    8 publications · 280 citations

    8

    h-index

  2. IEEE Transactions on Wireless Communications

    7 publications · 304 citations

    7

    h-index

  3. IEEE Internet of Things Journal

    5 publications · 307 citations

    5

    h-index

  4. IEEE Transactions on Mobile Computing

    TMCCI · 3 publications · 183 citations

    3

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 108 citations

    3

    h-index

1–5