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Automated Selection and Configuration of Cloud Environments Using Software Product Lines Principles

Abstract : Deploying an application to a cloud environment has recently become very trendy, since it offers many advantages such as improving reliability or scalability. These cloud environments provide a wide range of resources at different levels of functionality, which must be appropriately configured by stakeholders for the application to run properly. Handling this variability during the configuration and deployment stages is a complex and error-prone process, usually made in an ad hoc manner in existing solutions. In this paper, we propose a software product lines based approach to face these issues. Combined with a domain model used to select among cloud environments a suitable one, our approach supports stakeholders while configuring the selected cloud environment in a consistent way, and automates the deployment of such configurations through the generation of executable deployment scripts. To evaluate the soundness of the proposed approach, we conduct an experiment involving 10 participants with different levels of experience in cloud configuration and deployment. The experiment shows that using our approach significantly reduces time and most importantly, provides a reliable way to find a correct and suitable cloud configuration. Moreover, our empirical evaluation shows that our approach is effective and scalable to properly deal with a significant number of cloud environments.
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Submitted on : Tuesday, April 22, 2014 - 3:15:54 PM
Last modification on : Thursday, January 20, 2022 - 5:29:39 PM
Long-term archiving on: : Monday, April 10, 2017 - 3:38:20 AM


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  • HAL Id : hal-00965836, version 1


Clément Quinton, Daniel Romero, Laurence Duchien. Automated Selection and Configuration of Cloud Environments Using Software Product Lines Principles. IEEE CLOUD 2014, Jun 2014, Anchorage, United States. pp.144-151. ⟨hal-00965836⟩



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