Service Level Objective Optimization

Service Level Objective Optimization is a formal framework in Cloud Traffic Engineering that systematically balances cost-performance tradeoffs by dynamically aligning network resource allocation with application-specific service level objectives to ensure optimal operational efficiency under varying workload conditions.

70

Publications

2.2K

Citations

248

Authors

112

Institutions

Publications per year

2017–2026

36

Authors

248

  1. HS
    Haiying Shen

    Clemson University, United States

    6 publications · 120 citations

    6

    h-index

  2. MG
    Michael Gerndt

    Technical University of Munich, Germany

    4 publications · 152 citations

    4

    h-index

  3. VP
    Vladimir Podolskiy

    Technical University of Munich, Germany

    3 publications · 126 citations

    3

    h-index

  4. AJ
    Anshul Jindal

    Technical University of Munich, Germany

    3 publications · 132 citations

    3

    h-index

  5. SN
    S. N. Stepanov

    Moscow Technical University of Communication and Informatics, Russia

    2 publications · 34 citations

    2

    h-index

1–5 of 248

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 72 citations

    3

    h-index

  2. Automation and Remote Control

    2 publications · 34 citations

    2

    h-index

  3. 2

    h-index

  4. Optical Fiber Technology

    2 publications · 33 citations

    2

    h-index

  5. IEEE Transactions on Services Computing

    2 publications · 36 citations

    2

    h-index

1–5