Show simple item record

dc.creatorOsman, Rasha 
dc.creatorPérez, Juan F. 
dc.creatorCasale, Giuliano 
dc.date.accessioned2020-08-28T15:49:13Z
dc.date.available2020-08-28T15:49:13Z
dc.date.created2016-10-13
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.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.
dc.format.mimetypeapplication/pdf
dc.language.isoeng
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. 268-297
dc.relation.urihttps://ieeexplore.ieee.org/document/7589808
dc.source2016 IEEE International Conference on Software Quality, Reliability and Security (QRS)
dc.titleQuantifying the impact of replication on the quality-of-service in cloud databases
dc.typebookPart
dc.publisherIEEE
dc.subject.keywordTime factors
dc.subject.keywordQuality of service
dc.subject.keywordData models
dc.subject.keywordStandards
dc.subject.keywordRelational databases
dc.subject.keywordComputational modeling
dc.rights.accesRightsinfo:eu-repo/semantics/restrictedAccess
dc.type.spaparte de Libro
dc.rights.accesoRestringido (Acceso a grupos específicos)
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doihttps://doi.org/10.1109/QRS.2016.40
dc.title.TranslatedTitleCuantificar el impacto de la replicación en la calidad del servicio en las bases de datos en la nube
dc.relation.citationEndPage297
dc.relation.citationStartPage268
dc.relation.citationTitle2016 IEEE International Conference on Software Quality, Reliability and Security (QRS)


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record