Distributed Scalability

Distributed Scalability is a scalability paradigm that characterizes a system's ability to maintain proportional performance gains as additional computing nodes are incorporated into a distributed architecture, distinguished by its focus on coordinated resource allocation, inter-node communication efficiency, and load balancing across decentralized processing units.

68

Publications

3.1K

Citations

219

Authors

101

Institutions

Publications per year

2017–2026

10

Authors

219

  1. MV
    Maarten van Steen

    Vrije Universiteit Amsterdam, Netherlands

    3 publications · 65 citations

    3

    h-index

  2. JD
    Jack Dongarra

    University of Tennessee at Knoxville, United States

    2 publications · 72 citations

    2

    h-index

  3. PR
    Pablo Rodríguez

    Telefonica Research and Development, Spain

    2 publications · 297 citations

    2

    h-index

  4. ML
    Mingyu Lim

    Konkuk University, South Korea

    2 publications · 65 citations

    2

    h-index

  5. DL
    Dongman Lee

    Korea Advanced Institute of Science and Technology, South Korea

    2 publications · 65 citations

    2

    h-index

1–5 of 219

Venues

  1. Parallel Computing

    2 publications · 65 citations

    2

    h-index

  2. Future Generation Computer Systems

    FGCS · 2 publications · 40 citations

    2

    h-index

  3. ACM SIGCOMM Computer Communication Review

    CCR · 2 publications · 88 citations

    2

    h-index

  4. Journal of Parallel and Distributed Computing

    2 publications · 58 citations

    2

    h-index

  5. 1

    h-index

1–5