Data Center Traffic Engineering

Data Center Traffic Engineering is a data center network management methodology that optimizes the performance, reliability, and efficiency of intra-data center traffic flows by strategically controlling path selection, load balancing, and resource allocation within large-scale computing environments.

182

Publications

19.3K

Citations

614

Authors

222

Institutions

Publications per year

2017–2026

71

Authors

614

  1. AA
    Aditya Akella

    University of Wisconsin–Madison, United States

    5 publications · 3.8K citations

    5

    h-index

  2. AG
    Albert Greenberg

    AT&T (United States), United States

    5 publications · 3.6K citations

    5

    h-index

  3. TB
    Theophilus Benson

    University of Wisconsin–Madison, United States

    5 publications · 3.8K citations

    5

    h-index

  4. MA
    Mohammad Alizadeh

    Stanford University, United States

    5 publications · 2.6K citations

    5

    h-index

  5. PP
    Parveen Patel

    Microsoft (United States), United States

    4 publications · 3.5K citations

    4

    h-index

1–5 of 614

Venues

  1. Computer Networks

    9 publications · 170 citations

    9

    h-index

  2. ACM SIGCOMM Computer Communication Review

    CCR · 7 publications · 1.8K citations

    7

    h-index

  3. IEEE Transactions on Cloud Computing

    5 publications · 131 citations

    5

    h-index

  4. Computer Communications

    4 publications · 97 citations

    4

    h-index

  5. IEEE Transactions on Network and Service Management

    TNSM · 4 publications · 156 citations

    4

    h-index

1–5