Dynamic Resource Discovery

Dynamic Resource Discovery is a resource discovery paradigm that systematically identifies and locates computational or networked resources in real time by continuously adapting to changes in resource availability, state, or topology, distinguishing itself from static or periodic approaches through its responsiveness to dynamic environmental conditions.

201

Publications

10.7K

Citations

584

Authors

234

Institutions

Publications per year

2017–2026

25

Authors

584

  1. OR
    Omer Rana

    Cardiff University, United Kingdom

    5 publications · 163 citations

    5

    h-index

  2. DW
    David Walker

    Cardiff University, United Kingdom

    5 publications · 150 citations

    5

    h-index

  3. NA
    Nick Antonopoulos

    University of Derby, United Kingdom

    4 publications · 72 citations

    4

    h-index

  4. LL
    Lu Liu

    University of Derby, United Kingdom

    4 publications · 140 citations

    4

    h-index

  5. HB
    Hari Balakrishnan

    Massachusetts Institute of Technology, United States

    3 publications · 850 citations

    3

    h-index

1–5 of 584

Venues

  1. The Journal of Supercomputing

    4 publications · 90 citations

    4

    h-index

  2. 3

    h-index

  3. Parallel Computing

    3 publications · 84 citations

    3

    h-index

  4. IEEE Communications Magazine

    3 publications · 67 citations

    3

    h-index

  5. Journal of Network and Computer Applications

    JNCA · 3 publications · 69 citations

    3

    h-index

1–5