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Service monitoring and differentiation techniques for resource allocation in the grid, on the basis of the level of service

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Service monitoring and differentiation techniques for resource allocation in the grid, on the basis of the level of service

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dc.contributor.author Torres Serrano, Erik es_ES
dc.contributor.author Segrelles Quilis, José Damián es_ES
dc.contributor.author Blanquer Espert, Ignacio es_ES
dc.contributor.author Hernández García, Vicente es_ES
dc.date.accessioned 2014-02-14T12:34:50Z
dc.date.issued 2011-10
dc.identifier.issn 0167-739X
dc.identifier.uri http://hdl.handle.net/10251/35668
dc.description.abstract The study of meta-scheduling of jobs in the Grid has been a recurrent topic on the literature. Many tools have been developed for allocating the jobs to the most appropriate resources according to specific application needs while balancing the workload among resources. However, few of them focus on evaluating the level of service attained by providers of Grid services. On the contrary, Grid generally offers best-effort service to all the applications. Without Quality of Service (QoS), the jobs are executed without any guarantee on the execution time or throughput. Also, the support for qualitative attributes, such as security, is limited to the information provided by the resources. The uncertainty on the final performance is an issue that affects user satisfaction, reducing the interest of Grid infrastructures. In this paper, we present GRIDIFF, a software architecture that covers all necessary steps to integrate QoS into the process of allocating resources for the execution of jobs in the Grid. GRIDIFF has been used in practice to differentiate the resources according to the fulfillment of the 100% of the QoS considering three groups with failure rates of 9.1%, 13.3% and 64.1%, respectively. Scalability has been evaluated through simulation in up to 7000 nodes that can handle up to 250 monitoring agents per node. © 2011 Elsevier B.V. All rights reserved. es_ES
dc.description.sponsorship The authors wish to thank the financial support received from The Spanish Ministry of Education and Science to develop the project "ngGrid - New Generation Components for the Efficient Exploitation of e-Science Infrastructures", with reference TIN2006-12890. This work has been partially supported by the Generalitat Valenciana and the Structural Funds of the European Regional Development Fund (ERDF). en_EN
dc.format.extent 11 es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation Spanish Ministry of Education and Science [TIN2006-12890] es_ES
dc.relation Generalitat Valenciana es_ES
dc.relation Structural Funds of the European Regional Development Fund (ERDF) es_ES
dc.relation.ispartof Future Generation Computer Systems es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Grid computing es_ES
dc.subject Monitoring es_ES
dc.subject Quality of service es_ES
dc.subject Resource allocation es_ES
dc.subject Service differentiation es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Service monitoring and differentiation techniques for resource allocation in the grid, on the basis of the level of service es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1016/j.future.2011.03.005
dc.rights.accessRights Cerrado es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Torres Serrano, E.; Segrelles Quilis, JD.; Blanquer Espert, I.; Hernández García, V. (2011). Service monitoring and differentiation techniques for resource allocation in the grid, on the basis of the level of service. Future Generation Computer Systems. 27(8):1142-1152. doi:10.1016/j.future.2011.03.005 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/doi:10.1016/j.future.2011.03.005 es_ES
dc.description.upvformatpinicio 1142 es_ES
dc.description.upvformatpfin 1152 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 27 es_ES
dc.description.issue 8 es_ES
dc.relation.senia 205596


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