Article, 2021

An efficient pattern-based approach for workflow supporting large-scale science: The DagOnStar experience

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, ISSN 0167-739X, Volume 122, Pages 187-203, 10.1016/j.future.2021.03.017

Contributors

Sanchez-Gallegos, Dante D. 0000-0003-0944-9341 [1] [2] Di Luccio, Diana 0000-0002-0810-2250 [3] Kosta, Sokol 0000-0002-9441-4508 [4] Gonzalez-Compean, J. L. 0000-0002-2160-4407 [2] Montella, Raffaele 0000-0002-4767-2045 (Corresponding author) [3]

Affiliations

  1. [1] Univ Carlos III Madrid, Madrid, Spain
    2. [NORA names: Spain; Europe, EU; OECD];
  2. [2] Cinvestav Tamaulipas, Cd Victoria, Mexico
    3. [NORA names: Mexico; America, Central; OECD];
  3. [3] Univ Naples Parthenope, Dept Sci & Technol, Naples, Italy
    4. [NORA names: Italy; Europe, EU; OECD];
  4. [4] Aalborg Univ, Dept Elect Syst, Copenhagen, Denmark
    5. [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

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Keywords

Cloud computing, Data intensive, Directed acyclic graph, Parallel processing, Workflow

Data Provider: Clarivate

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