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A fuzzy inference system to scheduling tasks in queueing systems

dc.creatorLópez-Santana E.R.spa
dc.creatorFranco Franco, Carlos Albertospa
dc.creatorFigueroa-Garcia J.C.spa
dc.date.accessioned2020-05-25T23:56:47Z
dc.date.available2020-05-25T23:56:47Z
dc.date.created2017spa
dc.description.abstractThis paper studies the problem of scheduling customers or tasks in a queuing system. Generally the customers or a set of tasks in queuing system are attended according with different rules as round robin, equiprobable, shortest queue, among others. However, the condition of the system like the work in process, utilization and the length of queue is difficult to measure. We propose to use a fuzzy inference system in order to determine the status in the system depended of input variables like the length queue and the utilization. The experiment results shows an improvement in the performance measures compared with traditional scheduling policies. © Springer International Publishing AG 2017.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1007/978-3-319-63315-2_25
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/22521
dc.language.isoengspa
dc.publisherSpringer Verlagspa
dc.relation.citationEndPage297
dc.relation.citationStartPage286
dc.relation.citationTitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.citationVolumeVol. 10363 LNAI
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.10363 LNAI,(2017); pp. 286-297spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85027863430&doi=10.1007%2f978-3-319-63315-2_25&partnerID=40&md5=5351ca742cd7bd5ea14f8e51fd67d58dspa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordFuzzy inference systemspa
dc.subject.keywordQueuing theoryspa
dc.subject.keywordSchedulingspa
dc.subject.keywordUtilizationspa
dc.titleA fuzzy inference system to scheduling tasks in queueing systemsspa
dc.typeconferenceObjecteng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaDocumento de conferenciaspa
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