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    Optimizing computational resource management for the scientific gateways ecosystems based on the service‐oriented paradigm

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    Authors
    Martins de Oliveira, Edvard
    Estrella, Júlio Cézar
    Botazzo Delbem, Alexandre Claudio
    Souza Pardo, Mário Henrique
    Guzzo da Costa, Fausto
    Defelicibus, Alexandre
    Reiff‐Marganiec, Stephan
    Affiliation
    Federal University of Itajubá, Brazil
    University of Sao Paulo, Brazil
    A.C. Camargo Cancer Center, Sao Paulo, Brazil
    University of Derby
    Issue Date
    2020-02-26
    
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    Abstract
    Science Gateways provide portals for experiments execution, regardless of the users' computational background. Nowadays its construction and performance need enhancement in terms of resource provision and task scheduling. We present the Modular Distributed Architecture to support the Protein Structure Prediction (MDAPSP), a Service‐Oriented Architecture for management and construction of Science Gateways, with resource provisioning on a heterogeneous environment. The Decision Maker, central module of MDAPSP, defines the best computational environment according to experiment parameters. The proof of concept for MDAPSP is presented in WorkflowSim, with two novel schedulers. Our results demonstrate good Quality of Service (QoS), capable of correctly distributing the workload, fair response times, providing load balance, and overall system improvement. The study case relies on PSP algorithms and the Galaxy framework, with monitoring experiments to show the bottlenecks and critical aspects.
    Citation
    Martins de Oliveira, E., Estrella, J.C., Botazzo Delbem, A.C., Souza Pardo, M.H., Guzzo da Costa, F., Defelicibus, A. and Reiff‐Marganiec, S. (2020). 'Optimizing computational resource management for the scientific gateways ecosystems based on the service‐oriented paradigm'. Software: Practice and Experience, 50(6), pp. 1-26
    Publisher
    Wiley
    Journal
    Software Practice and Experience
    URI
    http://hdl.handle.net/10545/624830
    DOI
    10.1002/spe.2808
    Additional Links
    https://onlinelibrary.wiley.com/doi/epdf/10.1002/spe.2808
    Type
    Article
    Language
    en
    ISSN
    0038-0644
    EISSN
    1097-024X
    ae974a485f413a2113503eed53cd6c53
    10.1002/spe.2808
    Scopus Count
    Collections
    Department of Electronics, Computing & Maths

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