Performance Anomaly Detection

Performance Anomaly Detection is a computational method that identifies deviations in system behavior indicative of performance degradation in multi-tenant environments by distinguishing abnormal resource utilization patterns from normal operational baselines.

166

Publications

8.1K

Citations

583

Authors

216

Institutions

Publications per year

2017–2026

64

Authors

583

  1. LM
    Luís Moura Silva

    University of Coimbra, Portugal

    5 publications · 113 citations

    5

    h-index

  2. XG
    Xiaohui Gu

    North Carolina State University, United States

    5 publications · 323 citations

    5

    h-index

  3. JP
    João Paulo Magalhães

    Polytechnic Institute of Porto, Portugal

    5 publications · 113 citations

    5

    h-index

  4. HN
    Hiep Nguyen

    North Carolina State University, United States

    4 publications · 313 citations

    4

    h-index

  5. AE
    Ahmed E. Hassan

    Queen's University, Canada

    4 publications · 201 citations

    4

    h-index

1–5 of 583

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 144 citations

    3

    h-index

  2. IEEE Access

    3 publications · 49 citations

    3

    h-index

  3. IEEE Transactions on Network and Service Management

    TNSM · 3 publications · 94 citations

    3

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 46 citations

    2

    h-index

  5. IEEE/ACM Transactions on Networking

    TON · 2 publications · 88 citations

    2

    h-index

1–5