A model-driven approach for virtual machine image provisioning in cloud computing

Authors:
Tam Le Nhan;Gerson Sunyé;Jean-Marc Jézéquel
Affiliations:
INRIA Rennes - Bretagne Atlantique, France;INRIA Rennes - Bretagne Atlantique, France,University of Nantes, France;INRIA Rennes - Bretagne Atlantique, France,University of Rennes 1, France
Venue:
ESOCC'12 Proceedings of the First European conference on Service-Oriented and Cloud Computing
Year:
2012

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Abstract

The Cloud Computing Infastructure-as-a-Service (IaaS) layer provides a service for on demand virtual machine images deployment. This service provides a flexible platform for cloud users to develop, deploy, and test their applications. However, one major issue of application deployment is to ensure the compatibility of software components installed in a virtual machine image. This paper describes a model-driven approach to manage, create configurations, and deploy images for virtual machine image provisioning in Cloud Computing. This approach considers virtual image as product lines and uses feature models to represent their configurations. It uses model-based techniques to handle automatic deployment and reconfiguration, making the management of virtual images more flexible and easier than traditional approaches.