Geo-distributed Placement

Geo-Distributed Placement is a workload placement strategy that optimizes the allocation of computational tasks across geographically dispersed data centers to minimize latency, reduce bandwidth costs, and balance global workloads while adhering to service-level objectives and data residency constraints.

49

Publications

2.3K

Citations

165

Authors

79

Institutions

Publications per year

2017–2026

30

Authors

165

  1. SG
    Song Guo

    Hong Kong Polytechnic University, Hong Kong SAR China

    4 publications · 255 citations

    4

    h-index

  2. LZ
    Laiping Zhao

    Tianjin University, China

    2 publications · 53 citations

    2

    h-index

  3. AA
    Aditya Akella

    University of Wisconsin–Madison, United States

    2 publications · 422 citations

    2

    h-index

  4. DZ
    Deze Zeng

    China University of Geosciences, China

    2 publications · 197 citations

    2

    h-index

  5. AE
    Aiman Erbad

    Qatar University, Qatar

    2 publications · 30 citations

    2

    h-index

1–5 of 165

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 49 citations

    3

    h-index

  2. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 2 publications · 59 citations

    2

    h-index

  3. Journal of Network and Computer Applications

    JNCA · 2 publications · 50 citations

    2

    h-index

  4. Tsinghua Science & Technology

    2 publications · 42 citations

    2

    h-index

  5. IEEE Access

    2 publications · 59 citations

    2

    h-index

1–5