Cloud Traffic Engineering

Cloud Traffic Engineering is the academic discipline concerned with the systematic optimization and control of data flow within cloud networks to enhance performance, scalability, and resource efficiency, distinguishing it from general network management through its focus on dynamic, cloud-specific traffic patterns and virtualized infrastructure.

606

Publications

30.8K

Citations

2K

Authors

710

Institutions

Publications per year

2017–2026

272

Authors

2K

  1. BL
    Baochun Li

    University of Toronto, Canada

    8 publications · 330 citations

    8

    h-index

  2. BB
    Brij B. Gupta

    National Institute of Technology Kurukshetra, India

    8 publications · 709 citations

    8

    h-index

  3. HJ
    Hai Jin

    Huazhong University of Science and Technology, China

    6 publications · 348 citations

    6

    h-index

  4. KC
    Kai Chen

    Hong Kong University of Science and Technology, Hong Kong SAR China

    6 publications · 448 citations

    6

    h-index

  5. AA
    Aditya Akella

    University of Wisconsin–Madison, United States

    5 publications · 2.5K citations

    5

    h-index

1–5 of 2K

Venues

  1. Computer Networks

    27 publications · 1.6K citations

    21

    h-index

  2. Future Generation Computer Systems

    FGCS · 20 publications · 701 citations

    16

    h-index

  3. Computer Communications

    14 publications · 739 citations

    12

    h-index

  4. Cluster Computing

    11 publications · 343 citations

    11

    h-index

  5. Journal of Network and Computer Applications

    JNCA · 11 publications · 604 citations

    11

    h-index

1–5