Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/9730
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dc.rights.licenseBY-NC-ND-
dc.contributor.authorIvanović, Miloš-
dc.contributor.authorSimic, Visnja-
dc.contributor.authorStojanovic, Boban-
dc.contributor.authorKaplarević-Mališić, Ana-
dc.contributor.authorMarovic, Branko-
dc.date.accessioned2021-04-10T14:27:27Z-
dc.date.available2021-04-10T14:27:27Z-
dc.date.issued2015-
dc.identifier.issn0167739Xen_US
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/9730-
dc.description.abstractIn this paper, we present the WoBinGO (Work Binder Genetic algorithm based Optimization) framework for solving optimization problems over a Grid. It overcomes the shortcomings of earlier static pilot-job frameworks, by: (1) providing elastic resource provisioning thus avoiding unnecessary occupation of Grid resources; (2) providing friendliness towards other batching queue users thanks to adaptive allocation of jobs with limited lifetime. It hides the complexity of the underlying Grid environment, allowing the users to concentrate on the optimization problems. Theoretical analysis of possible speed-up is presented. An empirical study using an artificial problem, as well as a real-world calibration problem of a leakage model at the Visegrad power plant were performed. The obtained results show that despite WoBinGO’s adaptive and frugal allocation of computing resources, it provides significant speed-up when dealing with problems that have computationally expensive evaluations. Moreover, the benchmarks were performed in order to estimate the influence of the limited job lifetime feature on the queuing time of other batching jobs, compared to a static pilot-job infrastructure.en_US
dc.language.isoen_USen_US
dc.publisherElsevieren_US
dc.relation.ispartofFuture Generation Computer Systemsen_US
dc.rightsopenAccess-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/-
dc.subjectPilot-job infrastructureen_US
dc.subjectDynamic resource provisioningen_US
dc.subjectMetaheuristics based optimization frameworken_US
dc.subjectGrid computingen_US
dc.titleElastic grid resource provisioning with WoBinGO: A parallel framework for genetic algorithm based optimizationen_US
dc.typearticleen_US
dc.description.versionAuthor's versionen_US
dc.identifier.doi10.1016/j.future.2014.09.004en_US
dc.type.versionWorkingVersionen_US
Appears in Collections:Faculty of Science, Kragujevac

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