Výsledky vyhľadávania - Scientific Workflows Scheduling Algorithms IaaS Cloud Taxonomy Survey

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  1. 1

    A taxonomy and survey on scheduling algorithms for scientific workflows in IaaS cloud computing environments Autor Rodriguez, Maria Alejandra, Buyya, Rajkumar

    ISSN: 1532-0626, 1532-0634
    Vydavateľské údaje: Chichester, UK John Wiley & Sons, Ltd 25.04.2017
    Vydané v Concurrency and computation (25.04.2017)
    “… The emergence of the latest distributed systems paradigm, cloud computing, brings with it tremendous opportunities to run scientific workflows at low costs without the need of owning any infrastructure…”
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    Journal Article
  2. 2

    Taxonomy and survey of scientific workflow scheduling in infrastructure-as-a-service cloud computing systems Autor Stéphane, Fouakeu-Tatieze, Corneille, Kamla Vivient, Yassa, Sonia, Jean-Claude, Kamgang, Marcellin Julius Antonio, Nkenlifack

    ISSN: 2227-4332, 2227-4332
    Vydavateľské údaje: 27.05.2024
    “… Although the cloud computing environment has unlimited resources and can run some scientific workflow tasks simultaneously, scheduling scientific workflow tasks using pay-as-you-go cloud computing…”
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  3. 3

    Cloud resource management: towards efficient execution of large-scale scientific applications and workflows on complex infrastructures Autor Gonzalez, Nelson Mimura, Carvalho, Tereza Cristina Melo de Brito, Miers, Charles Christian

    ISSN: 2192-113X, 2192-113X
    Vydavateľské údaje: Berlin/Heidelberg Springer Berlin Heidelberg 19.06.2017
    “…Cloud computing evolved from the concept of utility computing, which is defined as the provision of computational and storage resources as a metered service…”
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  4. 4

    Resource scheduling methods for cloud computing environment: The role of meta-heuristics and artificial intelligence Autor Aron, Rajni, Abraham, Ajith

    ISSN: 0952-1976, 1873-6769
    Vydavateľské údaje: Elsevier Ltd 01.11.2022
    “… We first introduce the general background, and phases of scheduling. A comprehensive survey of existing resource scheduling problems proposed so far is presented considering high-level taxonomy…”
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