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Towards model-driven provisioning, deployment, monitoring, and adaptation of multi-cloud systems

Abstract

In the landscape of cloud computing, the competition between providers has led to an ever growing number of cloud solutions offered to consumers. The ability to run and manage multi-cloud systems (i.e., applications on multiple clouds) allows exploiting the peculiarities of each cloud solution and hence optimising the performance, availability, and cost of the applications. However, these cloud solutions are typically heterogeneous and the provided features are often incompatible. This diversity hinders the proper exploitation of the full potential of cloud computing, since it prevents interoperability and promotes vendor lock-in, as well as it increases the complexity of development and administration of multi-cloud systems. This problem needs to be addressed promptly. In this paper, we provide a classification of the state-of-the-art of cloud solutions, and argue for the need for model-driven engineering techniques and methods facilitating the specification of provisioning, deployment, monitoring, and adaptation concerns of multi-cloud systems at design-time and their enactment at run-time.

Category

Academic chapter/article/Conference paper

Language

English

Author(s)

  • Nicolas Ferry
  • Alessandro Rossini
  • Franck Chauvel
  • Brice Morin
  • Arnor Solberg

Affiliation

  • SINTEF Digital / Software and Service Innovation

Year

2013

Publisher

IEEE

Book

2013 IEEE Sixth International Conference on Cloud Computing. Proceedings, 27 June–2 July 2013, Santa Clara, California

ISBN

978-0-7695-5028-2

Page(s)

887 - 894

View this publication at Cristin