Data Transfer Cost Optimization

Data Transfer Cost Optimization is a methodological framework within the broader domain of cost optimization that specifically focuses on minimizing expenses associated with the movement of data across networks, storage systems, or cloud environments by strategically managing routing, scheduling, compression, and resource allocation.

24

Publications

983

Citations

100

Authors

43

Institutions

Publications per year

2017–2026

6

Authors

100

  1. BC
    Brian Cho

    University of Illinois Urbana-Champaign, United States

    2 publications · 64 citations

    2

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  2. IG
    Indranil Gupta

    University of Illinois Urbana-Champaign, United States

    2 publications · 64 citations

    2

    h-index

  3. YK
    Yu‐Kwong Kwok

    University of Hong Kong, Hong Kong SAR China

    1 publications · 43 citations

    1

    h-index

  4. AG
    Anastasios Gounaris

    Aristotle University of Thessaloniki, Greece

    1 publications · 29 citations

    1

    h-index

  5. YC
    Yingwu Chen

    National University of Defense Technology, China

    1 publications · 13 citations

    1

    h-index

1–5 of 100

Venues

  1. 2

    h-index

  2. IEEE Transactions on Computers

    2 publications · 39 citations

    2

    h-index

  3. IEEE Transactions on Services Computing

    1 publications · 43 citations

    1

    h-index

  4. EJNMMI Radiopharmacy and Chemistry

    1 publications · 47 citations

    1

    h-index

  5. IEEE Transactions on Cloud Computing

    1 publications · 35 citations

    1

    h-index

1–5