Data Locality Management

Data Locality Management is a computational optimization strategy in edge serverless computing that governs the proximity and placement of function execution relative to data sources to minimize latency, bandwidth consumption, and data movement across distributed edge infrastructures.

110

Publications

6.6K

Citations

387

Authors

166

Institutions

Publications per year

2017–2026

26

Authors

387

  1. FF
    Franz Franchetti

    Carnegie Mellon University, United States

    4 publications · 213 citations

    4

    h-index

  2. PH
    Paul H. J. Kelly

    Imperial College London, United Kingdom

    3 publications · 158 citations

    3

    h-index

  3. NM
    Naoya Maruyama

    Tokyo Institute of Technology, Japan

    3 publications · 157 citations

    3

    h-index

  4. RH
    Rehan Hameed

    Stanford University, United States

    3 publications · 231 citations

    3

    h-index

  5. CK
    Christos Kozyrakis

    Stanford University, United States

    3 publications · 231 citations

    3

    h-index

1–5 of 387

Venues

  1. 5

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 133 citations

    3

    h-index

  3. ACM SIGPLAN Notices

    3 publications · 138 citations

    3

    h-index

  4. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 209 citations

    2

    h-index

  5. arXiv (Cornell University)

    Repository · 2 publications · 26 citations

    2

    h-index

1–5