Self-healing Multi-Cloud Application Modelling
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2017-08-29
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ACM Digital Library
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Abstract
Cloud 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.
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Publisher Copyright: © 2017 Association for Computing Machinery.
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Cloud , Multi-cloud , Security , Modelling , Deployment , Cloud , Multi-cloud , Security , Modelling , Deployment , Software , Human-Computer Interaction , Computer Vision and Pattern Recognition , Computer Networks and Communications , Project ID , info:eu-repo/grantAgreement/EC/H2020/644429/EU/MUlti-cloud Secure Applications/MUSA , info:eu-repo/grantAgreement/EC/H2020/644429/EU/MUlti-cloud Secure Applications/MUSA , Funding Info , The 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. , The 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.
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Rios , 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
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