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Quantifying the impact of replication on the quality-of-service in cloud databases

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dc.creatorOsman, Rashaspa
dc.creatorPérez, Juan F.spa
dc.creatorCasale, Giulianospa
dc.date.accessioned2020-08-28T15:49:13Z
dc.date.available2020-08-28T15:49:13Z
dc.date.created2016-10-13spa
dc.description.abstractCloud databases achieve high availability by automatically replicating data on multiple nodes. However, the overhead caused by the replication process can lead to an increase in the mean and variance of transaction response times, causing unforeseen impacts on the offered quality-of-service (QoS). In this paper, we propose a measurement-driven methodology to predict the impact of replication on Database-as-a-Service (DBaaS) environments. Our methodology uses operational data to parameterize a closed queueing network model of the database cluster together with a Markov model that abstracts the dynamic replication process. Experiments on Amazon RDS show that our methodology predicts response time mean and percentiles with errors of just 1% and 15% respectively, and under operational conditions that are significantly different from the ones used for model parameterization. We show that our modeling approach surpasses standard modeling methods and illustrate the applicability of our methodology for automated DBaaS provisioning.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1109/QRS.2016.40
dc.identifier.issnISBN: 978-1-5090-4128-2
dc.identifier.issnEISBN: 978-1-5090-4127-5
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/28490
dc.language.isoengspa
dc.publisherIEEEspa
dc.relation.citationEndPage297
dc.relation.citationStartPage268
dc.relation.citationTitle2016 IEEE International Conference on Software Quality, Reliability and Security (QRS)
dc.relation.ispartofIEEE International Conference on Software Quality, Reliability and Security (QRS), ISBN: 978-1-5090-4128-2;EISBN: 978-1-5090-4127-5 (2016); pp. 268-297spa
dc.relation.urihttps://ieeexplore.ieee.org/document/7589808spa
dc.rights.accesRightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.accesoRestringido (Acceso a grupos específicos)spa
dc.source2016 IEEE International Conference on Software Quality, Reliability and Security (QRS)spa
dc.source.instnameinstname:Universidad del Rosario
dc.source.reponamereponame:Repositorio Institucional EdocUR
dc.subject.keywordTime factorsspa
dc.subject.keywordQuality of servicespa
dc.subject.keywordData modelsspa
dc.subject.keywordStandardsspa
dc.subject.keywordRelational databasesspa
dc.subject.keywordComputational modelingspa
dc.titleQuantifying the impact of replication on the quality-of-service in cloud databasesspa
dc.title.TranslatedTitleCuantificar el impacto de la replicación en la calidad del servicio en las bases de datos en la nubespa
dc.typebookParteng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaParte de librospa
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