Ítem
Solo Metadatos

Estimating computational requirements in multi-threaded applications

Mostrar el registro sencillo de la publicación
dc.creatorPérez, Juan F.spa
dc.creatorCasale, Giulianospa
dc.creatorPacheco-Sanchez, Sergiospa
dc.date.accessioned2020-08-19T14:43:16Z
dc.date.available2020-08-19T14:43:16Z
dc.date.created2014-10-16spa
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.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1109/TSE.2014.2363472
dc.identifier.issnISSN: 0098-5589
dc.identifier.issnEISSN: 1939-3520
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/27672
dc.language.isoengspa
dc.publisherIEEEspa
dc.relation.citationEndPage278
dc.relation.citationIssueNo. 3
dc.relation.citationStartPage264
dc.relation.citationTitleIEEE Transactions on Software Engineering
dc.relation.citationVolumeVol. 41
dc.relation.ispartofIEEE Transactions on Software Engineering, ISSN: 0098-5589;EISSN: 1939-3520, Vol.41, No.3 (1 March 2015); pp. 264-278spa
dc.relation.urihttps://ieeexplore.ieee.org/document/6926798spa
dc.rights.accesRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.accesoRestringido (Acceso a grupos específicos)spa
dc.sourceIEEE Transactions on Software Engineeringspa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordTime factorsspa
dc.subject.keywordServersspa
dc.subject.keywordInstruction setsspa
dc.subject.keywordMaximum likelihood estimationspa
dc.subject.keywordComputational modelingspa
dc.subject.keywordTime measurementspa
dc.titleEstimating computational requirements in multi-threaded applicationsspa
dc.title.TranslatedTitleEstimación de los requisitos computacionales en aplicaciones multiprocesospa
dc.typearticleeng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaArtículospa
Archivos
Colecciones
Artículos