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dc.creatorPérez, Juan F. 
dc.creatorCasale, Giuliano 
dc.creatorPacheco-Sanchez, Sergio 
dc.date.accessioned2020-08-19T14:43:16Z
dc.date.available2020-08-19T14:43:16Z
dc.date.created2014-10-16
dc.identifier.issnISSN: 0098-5589
dc.identifier.issnEISSN: 1939-3520
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/27672
dc.description.abstractPerformance models provide effective support for managing quality-of-service (QoS) and costs of enterprise applications. However, expensive high-resolution monitoring would be needed to obtain key model parameters, such as the CPU consumption of individual requests, which are thus more commonly estimated from other measures. However, current estimators are often inaccurate in accounting for scheduling in multi-threaded application servers. To cope with this problem, we propose novel linear regression and maximum likelihood estimators. Our algorithms take as inputs response time and resource queue measurements and return estimates of CPU consumption for individual request types. Results on simulated and real application datasets indicate that our algorithms provide accurate estimates and can scale effectively with the threading levels.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.relation.ispartofIEEE Transactions on Software Engineering, ISSN: 0098-5589;EISSN: 1939-3520, Vol.41, No.3 (1 March 2015); pp. 264-278
dc.relation.urihttps://ieeexplore.ieee.org/document/6926798
dc.sourceIEEE Transactions on Software Engineering
dc.titleEstimating computational requirements in multi-threaded applications
dc.typearticle
dc.publisherIEEE
dc.subject.keywordTime factors
dc.subject.keywordServers
dc.subject.keywordInstruction sets
dc.subject.keywordMaximum likelihood estimation
dc.subject.keywordComputational modeling
dc.subject.keywordTime measurement
dc.rights.accesRightsinfo:eu-repo/semantics/restrictedAccess
dc.type.spaArtículo
dc.rights.accesoRestringido (Acceso a grupos específicos)
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doihttps://doi.org/10.1109/TSE.2014.2363472
dc.title.TranslatedTitleEstimación de los requisitos computacionales en aplicaciones multiproceso
dc.relation.citationEndPage278
dc.relation.citationIssueNo. 3
dc.relation.citationStartPage264
dc.relation.citationTitleIEEE Transactions on Software Engineering
dc.relation.citationVolumeVol. 41


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