Date of Publication :7th July 2016

Abstract: Cloud computing that depends particularly on the Infrastructure as a Services model, allows the system administrators to identify resources or services to deploy their applications. This scenario however requires different expertise to identify the appropriate resources that the model requires to run in the cloud as the specifications are often vague. The approximation on identification of the resources can vary depending on the cloud provider characteristics. Selection of the most appropriate provider for a particular application is also a laborious task because there are a huge number of services offered by considerable number of providers that are not directly comparable and have similar functionality. In order to assist system administrators in this, a new framework is suggested that supports the process of deploying applications in cloud providers, using a comparison of high level requirements predominantly non-functional requirements (NFR). Experiments have already been conducted successfully with a small scale prototype where matching of user constraints during service selection process is done. The experiment uses Aspect Oriented Paradigm (AOP), XML and graph transformation. The relevance of the framework is illustrated using the Remote Patient Monitoring (RPM) scenario. The results demonstrate that the model considerably improves the process by reducing conflicting non functional requirements. Based on this work done, the next logical step is to extend it to Cloud Computing.

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