Kubernetes For Edge Computing

Kubernetes for Edge Computing is a distributed orchestration framework that extends the core Kubernetes architecture to manage containerized workloads across geographically dispersed and resource-constrained edge environments, enabling scalable, resilient, and low-latency application deployment at the network edge.

41

Publications

1.9K

Citations

117

Authors

51

Institutions

Publications per year

2017–2026

40

Authors

117

  1. LT
    László Toka

    Budapest University of Technology and Economics, Hungary

    3 publications · 237 citations

    3

    h-index

  2. TK
    Taehong Kim

    Chungbuk National University, South Korea

    2 publications · 75 citations

    3

    h-index

  3. XW
    Xiaofei Wang

    Tianjin University, China

    1 publications · 84 citations

    2

    h-index

  4. YX
    Ying Xiong

    Nanchang University, China

    2 publications · 215 citations

    2

    h-index

  5. BS
    Balázs Sonkoly

    Budapest University of Technology and Economics, Hungary

    2 publications · 194 citations

    2

    h-index

1–5 of 117

Venues

  1. Sensors

    4 publications · 158 citations

    5

    h-index

  2. IEEE Communications Surveys & Tutorials

    ComST · 1 publications · 95 citations

    1

    h-index

  3. Journal of Grid Computing

    1 publications · 43 citations

    1

    h-index

  4. IEEE Transactions on Network and Service Management

    TNSM · 1 publications · 159 citations

    1

    h-index

  5. IEEE Transactions on Cloud Computing

    1 publications · 61 citations

    1

    h-index

1–5