Data Grid Discovery

Data Grid Discovery is a computational framework within resource discovery that enables the systematic identification, location, and access to distributed data resources across virtual organizations by leveraging grid infrastructure and metadata catalog services.

3

Publications

150

Citations

38

Authors

11

Institutions

Publications per year

2017–2026

0

Authors

38

  1. LP
    L. P. Guy

    University of Geneva, Switzerland

    1 publications · 16 citations

    1

    h-index

  2. JW
    James W. Casey

    Cornell University, United States

    1 publications · 16 citations

    1

    h-index

  3. VN
    Veronika Nefedova

    Argonne National Laboratory, United States

    1 publications · 107 citations

    1

    h-index

  4. MS
    Mika Silander

    Istituto Nazionale di Fisica Nucleare, Italy

    1 publications · 16 citations

    1

    h-index

  5. ED
    Ewa Deelman

    University of Southern California, United States

    1 publications · 107 citations

    1

    h-index

1–5 of 38

Venues

  1. Environmental Modelling & Software

    1 publications · 27 citations

    1

    h-index

  2. arXiv (Cornell University)

    Repository · 1 publications · 16 citations

    1

    h-index

  3. Parallel Computing

    1 publications · 107 citations

    1

    h-index

1–3