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dc.contributor.authorde Boer, Frank
dc.contributor.authorGiachino, Elena
dc.contributor.authorde Gouw, Stijn
dc.contributor.authorHähnle, Reiner
dc.contributor.authorJohnsen, Einar Broch
dc.contributor.authorLaneve, Cosimo
dc.contributor.authorPun, Ka I
dc.contributor.authorZavattaro, Gianluigi
dc.date.accessioned2020-03-16T10:47:14Z
dc.date.available2020-03-16T10:47:14Z
dc.date.created2019-10-01T17:14:22Z
dc.date.issued2019
dc.identifier.citationde Boer, F. S., Giachino, E., de Gouw, S., Hähnle, R., Johnsen, E. B., Laneve, C., … Zavattaro, G. (2019). Analysis of SLA compliance in the cloud: An automated, model-based approach. Electronic Proceedings in Theoretical Computer Science, 302, 1-15.en_US
dc.identifier.issn2075-2180
dc.identifier.urihttps://hdl.handle.net/11250/2646925
dc.description.abstractService Level Agreements (SLA) are commonly used to specify the quality attributes between cloud service providers and the customers. A violation of SLAs can result in high penalties. To allow the analysis of SLA compliance before the services are deployed, we describe in this paper an approach for SLA-aware deployment of services on the cloud, and illustrate its workflow by means of a case study. The approach is based on formal models combined with static analysis tools and generated runtime monitors. As such, it fits well within a methodology combining software development with information technology operations (DevOps).en_US
dc.language.isoengen_US
dc.publisherOpen Publishing Associationen_US
dc.relation.uri10.4204/EPTCS.302.1
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleAnalysis of SLA Compliance in the Cloud -- An Automated, Model-based Approachen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© F. de Boer et al.en_US
dc.source.pagenumber1-15en_US
dc.source.volume302en_US
dc.source.journalElectronic Proceedings in Theoretical Computer Scienceen_US
dc.identifier.doi10.4204/EPTCS.302.1
dc.identifier.cristin1732684
dc.relation.projectNorges forskningsråd: 237898en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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