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Data and Cloud Polymorphic Application Modelling in Multi-clouds and Fog Environments

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Advanced Information Systems Engineering (CAiSE 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12751))

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Multi-cloud management prevents vendor lock-in as well as improves the provisioning of cloud applications. However, the optimal deployment of such applications is still impossible, not only due to the dynamicity of the cloud and hybrid environments that host these applications but also due to the use of potentially unsuitable forms or configurations of application components. As such, the real cloud application optimisation can only be achieved by considering all possible component forms and selecting the best one, based on both application requirements and the current context. This gives rise to the era of polymorphic applications which can change form at runtime based on their context. A major pre-requisite for the management of such applications is their proper modelling. Therefore, this paper presents extensions on two well-integrated cloud modelling solutions to support the complete specification of polymorphic applications and it presents an illustrative example of their use.

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The research leading to these results has received funding from the EU’s Horizon 2020 research and innovation programme under grant agreement No. 871643 MORPHEMIC project.

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Correspondence to Yiannis Verginadis , Kyriakos Kritikos or Ioannis Patiniotakis .

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Verginadis, Y., Kritikos, K., Patiniotakis, I. (2021). Data and Cloud Polymorphic Application Modelling in Multi-clouds and Fog Environments. In: La Rosa, M., Sadiq, S., Teniente, E. (eds) Advanced Information Systems Engineering. CAiSE 2021. Lecture Notes in Computer Science(), vol 12751. Springer, Cham.

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  • Print ISBN: 978-3-030-79381-4

  • Online ISBN: 978-3-030-79382-1

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