Computational Resource Discovery

Computational Resource Discovery is a systematic academic framework that identifies, locates, and characterizes computational assets—such as processing units, storage systems, and networked services—within distributed environments by applying algorithmic and metadata-driven methods distinct from general resource discovery through its focus on quantifiable, machine-executable resources.

75

Publications

2.6K

Citations

237

Authors

115

Institutions

Publications per year

2017–2026

17

Authors

237

  1. FP
    Fred P. Davis

    Janelia Research Campus, United States

    2 publications · 333 citations

    2

    h-index

  2. RR
    Rajiv Ranjan

    Newcastle University, United Kingdom

    2 publications · 159 citations

    2

    h-index

  3. MB
    Michael B. Reiser

    Janelia Research Campus, United States

    2 publications · 333 citations

    2

    h-index

  4. SP
    Serge Picard

    Université Laval, Canada

    2 publications · 333 citations

    2

    h-index

  5. MS
    Mowafaq Salem Alzboon

    Jadara University, Jordan

    2 publications · 22 citations

    2

    h-index

1–5 of 237

Venues

  1. Future Generation Computer Systems

    FGCS · 4 publications · 117 citations

    4

    h-index

  2. The Journal of Supercomputing

    2 publications · 22 citations

    2

    h-index

  3. Computer

    2 publications · 120 citations

    2

    h-index

  4. PLoS Computational Biology

    2 publications · 64 citations

    2

    h-index

  5. IEEE Transactions on Computers

    2 publications · 36 citations

    2

    h-index

1–5