Self-healing Multi-Cloud Application Modelling

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dc.contributor.authorRios, Erkuden
dc.contributor.authorIturbe, Eider
dc.contributor.authorPalacios, Maria Carmen
dc.contributor.institutionCIBERSEC&DLT
dc.date.issued2017-08-29
dc.descriptionPublisher Copyright: © 2017 Association for Computing Machinery.
dc.description.abstractCloud computing market forecasts and technology trends confirm that Cloud is an IT disrupting phenomena and that the number of companies with multi-cloud strategy is continuously growing. Cost optimization and increased competitiveness of companies that exploit multi-cloud will only be possible when they are able to leverage multiple cloud offerings, while mastering both the complexity of multiple cloud provider management and the protection against the higher exposure to attacks that multi-cloud brings. This paper presents the MUSA Security modelling language for multi-cloud applications which is based on the Cloud Application Modelling and Execution Language (CAMEL) to overcome the lack of expressiveness of state-of-the-art modelling languages towards easing: a) the automation of distributed deployment, b) the computation of composite Service Level Agreements (SLAs) that include security and privacy aspects, and c) the risk analysis and service match-making taking into account not only functionality and business aspects of the cloud services, but also security aspects. The paper includes the description of the MUSA Modeller as the Web tool supporting the modelling with the MUSA modelling language. The paper introduces also the MUSA SecDevOps framework in which the MUSA Modeller is integrated and with which the MUSA Modeller will be validated.en
dc.description.statusPeer reviewed
dc.format.extent9
dc.format.extent967347
dc.identifier.citationRios , E , Iturbe , E & Palacios , M C 2017 , Self-healing Multi-Cloud Application Modelling . in unknown . Part F130521 , ACM Digital Library , pp. 1-9 , 12th International Conference on Availability, Reliability and Security, ARES 2017 , Reggio Calabria , Italy , 29/08/17 . https://doi.org/10.1145/3098954.3104059
dc.identifier.citationconference
dc.identifier.doi10.1145/3098954.3104059
dc.identifier.isbn978-1-4503-5257-4
dc.identifier.isbn9781450352574
dc.identifier.otherresearchoutputwizard: 11556/432
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85030312256&partnerID=8YFLogxK
dc.language.isoeng
dc.publisherACM Digital Library
dc.relation.ispartofunknown
dc.relation.ispartofseriesPart F130521
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subject.keywordsCloud
dc.subject.keywordsMulti-cloud
dc.subject.keywordsSecurity
dc.subject.keywordsModelling
dc.subject.keywordsDeployment
dc.subject.keywordsCloud
dc.subject.keywordsMulti-cloud
dc.subject.keywordsSecurity
dc.subject.keywordsModelling
dc.subject.keywordsDeployment
dc.subject.keywordsSoftware
dc.subject.keywordsHuman-Computer Interaction
dc.subject.keywordsComputer Vision and Pattern Recognition
dc.subject.keywordsComputer Networks and Communications
dc.subject.keywordsProject ID
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/H2020/644429/EU/MUlti-cloud Secure Applications/MUSA
dc.subject.keywordsinfo:eu-repo/grantAgreement/EC/H2020/644429/EU/MUlti-cloud Secure Applications/MUSA
dc.subject.keywordsFunding Info
dc.subject.keywordsThe MUSA project leading to this paper has received funding from the European Union’s Horizon 2020 research and innovation pro- gramme under grant agreement No 644429.
dc.subject.keywordsThe MUSA project leading to this paper has received funding from the European Union’s Horizon 2020 research and innovation pro- gramme under grant agreement No 644429.
dc.titleSelf-healing Multi-Cloud Application Modellingen
dc.typeconference output
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