Data Transfer Optimization

Data Transfer Optimization is a methodological framework within serverless networking and storage migration that minimizes latency, bandwidth consumption, and operational cost during data movement by strategically orchestrating transfer timing, routing, and data placement according to workload demands and system constraints.

230

Publications

8.1K

Citations

744

Authors

293

Institutions

Publications per year

2017–2026

57

Authors

744

  1. TK
    Tevfik Kosar

    University at Buffalo, State University of New York, United States

    15 publications · 425 citations

    13

    h-index

  2. EA
    Engin Arslan

    University of Nevada, Reno, United States

    10 publications · 291 citations

    10

    h-index

  3. RK
    Rajkumar Kettimuthu

    Argonne National Laboratory, United States

    6 publications · 121 citations

    6

    h-index

  4. EY
    Esma Yildirim

    University at Buffalo, State University of New York, United States

    6 publications · 214 citations

    6

    h-index

  5. KG
    Kemal Güner

    University at Buffalo, State University of New York, United States

    4 publications · 69 citations

    4

    h-index

1–5 of 744

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 7 publications · 400 citations

    7

    h-index

  2. IEEE Transactions on Cloud Computing

    4 publications · 133 citations

    4

    h-index

  3. Sensors

    3 publications · 78 citations

    3

    h-index

  4. IEEE/ACM Transactions on Networking

    TON · 3 publications · 53 citations

    3

    h-index

  5. Journal of Lightwave Technology

    2 publications · 123 citations

    2

    h-index

1–5