Edge Computing Performance

Edge Computing Performance is a distributed systems performance metric that quantifies the efficiency, latency, and resource utilization of computational tasks executed at the network edge, distinguished by its focus on localized data processing proximity to end-user devices and IoT sources.

74

Publications

2.6K

Citations

304

Authors

114

Institutions

Publications per year

2017–2026

64

Authors

304

  1. PK
    Pilsung Kang

    Sun Moon University, South Korea

    3 publications · 95 citations

    3

    h-index

  2. YS
    Yogesh Simmhan

    Indian Institute of Science Bangalore, India

    2 publications · 45 citations

    2

    h-index

  3. SA
    Sai Anuroop Kesanapalli

    Indian Institute of Science Bangalore, India

    2 publications · 45 citations

    2

    h-index

  4. QH
    Qiang He

    Swinburne University of Technology, Australia

    2 publications · 72 citations

    2

    h-index

  5. LR
    Lavanya Ramapantulu

    National University of Singapore, Singapore

    2 publications · 67 citations

    2

    h-index

1–5 of 304

Venues

  1. arXiv (Cornell University)

    Repository · 4 publications · 83 citations

    4

    h-index

  2. IEEE Access

    3 publications · 63 citations

    3

    h-index

  3. Sensors

    2 publications · 122 citations

    2

    h-index

  4. IEEE Transactions on Mobile Computing

    TMCCI · 2 publications · 66 citations

    2

    h-index

  5. The Journal of Supercomputing

    2 publications · 114 citations

    2

    h-index

1–5