Network Function Chaining Optimization

Network Function Chaining Optimization is a computational framework that determines the optimal placement, ordering, and resource allocation of virtual network functions in a service chain to maximize performance metrics such as latency, cost, or energy efficiency within a virtualized network infrastructure.

43

Publications

1.6K

Citations

166

Authors

76

Institutions

Publications per year

2017–2026

36

Authors

166

  1. HG
    Howard Green

    Ericsson (United States), United States

    2 publications · 216 citations

    2

    h-index

  2. RP
    Roberto Proietti

    University of California, Davis, United States

    2 publications · 60 citations

    2

    h-index

  3. YZ
    Ying Zhang

    Ericsson (Sweden), Sweden

    2 publications · 216 citations

    2

    h-index

  4. MX
    Ming Xia

    University of California, Davis, United States

    2 publications · 216 citations

    2

    h-index

  5. MS
    Meral Shirazipour

    Ericsson (Sweden), Sweden

    2 publications · 216 citations

    2

    h-index

1–5 of 166

Venues

  1. IEEE Access

    3 publications · 229 citations

    3

    h-index

  2. IEEE/ACM Transactions on Networking

    TON · 2 publications · 54 citations

    2

    h-index

  3. IEEE Transactions on Network and Service Management

    TNSM · 2 publications · 90 citations

    2

    h-index

  4. 2

    h-index

  5. IEEE Transactions on Vehicular Technology

    1 publications · 11 citations

    1

    h-index

1–5