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dc.contributor.authorElhabbash, Abdessalam
dc.contributor.authorElkhatib, Yehia
dc.contributor.authorBlair, Gordon S.
dc.contributor.authorLin, Yuhui
dc.contributor.authorBarker, Adam
dc.contributor.authorThomson, John
dc.date.accessioned2020-01-22T12:30:04Z
dc.date.available2020-01-22T12:30:04Z
dc.date.issued2019-12-02
dc.identifier.citationElhabbash , A , Elkhatib , Y , Blair , G S , Lin , Y , Barker , A & Thomson , J 2019 , Envisioning SLO-driven service selection in multi-cloud applications . in UCC 2019 Companion - Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing . Association for Computing Machinery, Inc , pp. 9-14 , 12th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2019 , Auckland , New Zealand , 2/12/19 . https://doi.org/10.1145/3368235.3368831en
dc.identifier.citationconferenceen
dc.identifier.isbn9781450370448
dc.identifier.otherPURE: 265750644
dc.identifier.otherPURE UUID: 1523c6a5-9a2b-4ec9-98e8-c64c5435b178
dc.identifier.otherScopus: 85077340484
dc.identifier.urihttp://hdl.handle.net/10023/19334
dc.descriptionFunding: Adaptive Brokerage for the Cloud (ABC) project, UK EPSRC grants EP/R010889/1 and EP/R010528/1.en
dc.description.abstractThe current large selection of cloud instances that are functionally equivalent makes selecting the right cloud service a challenging decision. We envision a model driven engineering (MDE) approach to raise the level of abstraction for cloud service selection. One way to achieve this is through a domain specific language (DSL) for modelling the service level objectives (SLOs) and a brokerage system that utilises the SLO model to select services. However, this demands an understanding of the provider SLAs and the capabilities of the current cloud modelling languages (CMLs). This paper investigates the state-of-the-art for SLO support in both cloud providers SLAs and CMLs in order to identify the gaps for SLO support. We then outline research directions towards achieving the MDE-based cloud brokerage.
dc.format.extent6
dc.language.isoeng
dc.publisherAssociation for Computing Machinery, Inc
dc.relation.ispartofUCC 2019 Companion - Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computingen
dc.rightsCopyright © 2019 Association for Computing Machinery. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1145/3368235.3368831en
dc.subjectCloud computingen
dc.subjectCloud Modelling Languagesen
dc.subjectDomain specific languageen
dc.subjectService Level Agreementsen
dc.subjectService Level Objectivesen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectComputer Networks and Communicationsen
dc.subjectHardware and Architectureen
dc.subjectT-NDASen
dc.subject.lccQA75en
dc.titleEnvisioning SLO-driven service selection in multi-cloud applicationsen
dc.typeConference itemen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1145/3368235.3368831
dc.identifier.urlhttps://eprints.lancs.ac.uk/id/eprint/138561/en


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