Quality Of Service Optimization

Quality of Service Optimization is a performance optimization framework that systematically enhances service delivery metrics—such as latency, availability, and reliability—by strategically orchestrating edge service placement and storage tiering to meet predefined service-level objectives in distributed computing environments.

620

Publications

26.9K

Citations

1.9K

Authors

696

Institutions

Publications per year

2017–2026

246

Authors

1.9K

  1. SW
    Shangguang Wang

    Beijing University of Posts and Telecommunications, China

    14 publications · 816 citations

    13

    h-index

  2. QS
    Qibo Sun

    Beijing University of Posts and Telecommunications, China

    10 publications · 331 citations

    10

    h-index

  3. FY
    Fangchun Yang

    Beijing University of Posts and Telecommunications, China

    10 publications · 326 citations

    10

    h-index

  4. HM
    Hui Ma

    Victoria University of Wellington, New Zealand

    7 publications · 181 citations

    7

    h-index

  5. QH
    Qiang He

    Swinburne University of Technology, Australia

    7 publications · 558 citations

    7

    h-index

1–5 of 1.9K

Venues

  1. IEEE Internet of Things Journal

    18 publications · 925 citations

    17

    h-index

  2. IEEE Transactions on Services Computing

    20 publications · 1.1K citations

    17

    h-index

  3. IEEE Access

    17 publications · 455 citations

    15

    h-index

  4. IEEE Transactions on Network and Service Management

    TNSM · 14 publications · 426 citations

    14

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 10 publications · 605 citations

    10

    h-index

1–5