Optimizing computational resource management for the scientific gateways ecosystems based on the service‐oriented paradigm
Authors
Martins de Oliveira, EdvardEstrella, Júlio Cézar
Botazzo Delbem, Alexandre Claudio
Souza Pardo, Mário Henrique
Guzzo da Costa, Fausto
Defelicibus, Alexandre
Reiff‐Marganiec, Stephan
Affiliation
Federal University of Itajubá, BrazilUniversity of Sao Paulo, Brazil
A.C. Camargo Cancer Center, Sao Paulo, Brazil
University of Derby
Issue Date
2020-02-26
Metadata
Show full item recordAbstract
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. 1-26Publisher
WileyJournal
Software Practice and ExperienceDOI
10.1002/spe.2808Additional Links
https://onlinelibrary.wiley.com/doi/epdf/10.1002/spe.2808Type
ArticleLanguage
enISSN
0038-0644EISSN
1097-024Xae974a485f413a2113503eed53cd6c53
10.1002/spe.2808