Abstract
Companies currently use cloud services to obtain access to computing resources located in virtualized environments. Practitioners and researchers are adopting the Infrastructure as Code approach to cloud infrastructure automation, in addition to attaining the infrastructure for a particular cloud provider in a short amount of time. However, the traditional method of using a single cloud provider has several limitations concerning privacy, security, performance, geographical reach, and vendor lock-in. In order to mitigate these issues, industry and academia are implementing multiple clouds (i.e., multi-cloud). In a previous work, we introduced ARGON, which is an infrastructure modeling tool for cloud provisioning that leverages Model-Driven Engineering to provide a uniform, cohesive, and seamless process with which to support the DevOps approach. In this paper, we present an extension of ARGON that can be employed to support multi-cloud infrastructure provisioning modeling and propose a model-driven approach that allows migration among cloud providers.
A prior version of this paper has been published in the ISD2018 Proceedings (http://aisel.aisnet.org/isd2014/proceedings2018).
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Acknowledgements
This research is supported by Adapt@Cloud (TIN2017-84550-R) project, in addition to the SENESCYT and the Escuela Politécnica Nacional (Ecuador).
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Sandobalin, J., Insfran, E., Abrahao, S. (2019). Towards Model-Driven Infrastructure Provisioning for Multiple Clouds. In: Andersson, B., Johansson, B., Barry, C., Lang, M., Linger, H., Schneider, C. (eds) Advances in Information Systems Development. Lecture Notes in Information Systems and Organisation, vol 34. Springer, Cham. https://doi.org/10.1007/978-3-030-22993-1_12
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DOI: https://doi.org/10.1007/978-3-030-22993-1_12
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