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An offline demand estimation method for multi-threaded applications

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dc.creatorPérez, Juan F.spa
dc.creatorPacheco-Sanchez, Sergiospa
dc.creatorCasale, Giulianospa
dc.date.accessioned2020-08-28T15:49:14Z
dc.date.available2020-08-28T15:49:14Z
dc.date.created2014-02-03spa
dc.description.abstractParameterizing performance models for multi-threaded enterprise applications requires finding the service rates offered by worker threads to the incoming requests. Statistical inference on monitoring data is here helpful to reduce the overheads of application profiling and to infer missing information. While linear regression of utilization data is often used to estimate service rates, it suffers erratic performance and also ignores a large part of application monitoring data, e.g., response times. Yet inference from other metrics, such as response times or queue-length samples, is complicated by the dependence on scheduling policies. To address these issues, we propose novel scheduling-aware estimation approaches for multi-threaded applications based on linear regression and maximum likelihood estimators. The proposed methods estimate demands from samples of the number of requests in execution in the worker threads at the admission instant of a new request. Validation results are presented on simulated and real application datasets for systems with multi-class requests, class switching, and admission control.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1109/MASCOTS.2013.10
dc.identifier.issnEISBN: 978-0-7695-5102-9
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/28497
dc.language.isoengspa
dc.publisherIEEEspa
dc.relation.citationEndPage30
dc.relation.citationStartPage21
dc.relation.citationTitle2013 IEEE 21st International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems
dc.relation.ispartofIEEE 21st International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems, EISBN: 978-0-7695-5102-9 (2013); pp. 21-30spa
dc.relation.urihttps://ieeexplore.ieee.org/document/6730745spa
dc.rights.accesRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.accesoRestringido (Acceso a grupos específicos)spa
dc.source2013 IEEE 21st International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systemsspa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordServersspa
dc.subject.keywordComputational modelingspa
dc.subject.keywordTime factorsspa
dc.subject.keywordInstruction setsspa
dc.subject.keywordMaximum likelihood estimationspa
dc.subject.keywordEstimation errorspa
dc.titleAn offline demand estimation method for multi-threaded applicationsspa
dc.title.TranslatedTitleUn método de estimación de la demanda fuera de línea para aplicaciones multiprocesospa
dc.typebookParteng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaParte de librospa
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