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Assessing SLA compliance from Palladio component models

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dc.creatorPérez, Juan F.spa
dc.creatorCasale, Giulianospa
dc.date.accessioned2020-08-28T15:49:14Z
dc.date.available2020-08-28T15:49:14Z
dc.date.created2014-05-26spa
dc.description.abstractService providers face the challenge of meeting service-level agreements (SLAs) under uncertainty on the application actual performance. The performance heavily depends on the characteristics of the hardware on which the application is deployed, on the application architecture, as well as on the user workload. Although many models have been proposed for the performance prediction of software applications, most of them focus on average measures, e.g., mean response times. However, SLAs are often set in terms of percentiles, such that a given portion of requests receive a predefined service level, e.g., 95% of the requests should face a response time of at most 10 ms. To enable the effective prediction of this type of measures, in this paper we use fluid models for the computation of the probability distribution of performance measures relevant for SLAs. Our models are automatically built from a Palladio Component Model (PCM) instance, thus allowing the SLA assessment directly from the PCM specification. This provides an scalable alternative for SLA assessment within the PCM framework, as currently this is supported by means of simulation only.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1109/SYNASC.2013.60
dc.identifier.issnISBN: 978-1-4799-3035-7
dc.identifier.issnEISBN: 978-1-4799-3036-4
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/28496
dc.language.isoengspa
dc.publisherIEEEspa
dc.relation.citationEndPage416
dc.relation.citationStartPage409
dc.relation.citationTitle2013 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing
dc.relation.ispartof15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, ISBN: 978-1-4799-3035-7;EISBN: 978-1-4799-3036-4 (2013); pp. 409-416spa
dc.relation.urihttps://ieeexplore.ieee.org/document/6821177?section=abstractspa
dc.rights.accesRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.accesoRestringido (Acceso a grupos específicos)spa
dc.source2013 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computingspa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordComputational modelingspa
dc.subject.keywordAnalytical modelsspa
dc.subject.keywordPhase change materialsspa
dc.subject.keywordProgram processorsspa
dc.subject.keywordServersspa
dc.subject.keywordDelaysspa
dc.subject.keywordThroughputspa
dc.titleAssessing SLA compliance from Palladio component modelsspa
dc.title.TranslatedTitleEvaluación del cumplimiento de SLA a partir de modelos de componentes de Palladiospa
dc.typebookParteng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaParte de librospa
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