Scalable Edge Systems

Scalable Edge Systems is a distributed computing architecture that extends cloud capabilities to the network edge by enabling dynamic resource provisioning, low-latency processing, and elastic scalability to accommodate fluctuating workloads and heterogeneous devices in geographically dispersed environments.

21

Publications

772

Citations

110

Authors

51

Institutions

Publications per year

2017–2026

17

Authors

110

  1. FY
    Fan Ye

    Stony Brook University, United States

    2 publications · 94 citations

    2

    h-index

  2. BX
    Bin Xiao

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 94 citations

    2

    h-index

  3. JD
    Jun Duan

    Stony Brook University, United States

    2 publications · 94 citations

    2

    h-index

  4. JZ
    Jiarui Zhang

    Stony Brook University, United States

    2 publications · 94 citations

    2

    h-index

  5. YH
    Yaodong Huang

    Stony Brook University, United States

    2 publications · 94 citations

    2

    h-index

1–5 of 110

Venues

  1. Computer Networks

    2 publications · 33 citations

    2

    h-index

  2. Journal of Parallel and Distributed Computing

    2 publications · 72 citations

    2

    h-index

  3. 2021 IEEE Symposium on Computers and Communications (ISCC)

    Conference · 1 publications · 36 citations

    1

    h-index

  4. Future Generation Computer Systems

    FGCS · 1 publications · 27 citations

    1

    h-index

  5. Ad Hoc Networks

    1 publications · 18 citations

    1

    h-index

1–5