Automating Deployment of Customized Scientific Data Analytic Environments on Clouds

Cloud computing has become a widely used solution for efficiently provisioning computational and storage resources. Meanwhile, it is essential to provide customizable scientific data analytic platforms for researchers to conduct their personalized data intensive analysis. The integration of scientific data analytics and Cloud computing has the potential to improve resource utilization and facilitate the development of scientific researches. This paper proposes an automatic deployment framework for deploying computing environments on Clouds for every customized scientific data analytics. To achieve customization and deployment functionalities, this framework has two major components: customization service and workspace deployment service. Users are allowed to customize their personalized scientific data analytics and required Cloud resources under the customization service. A workspace language is defined in the workspace deployment service to describe the requirements of computing resources and software tools of a scientific data analytics. Workspace deployment service then adopts Chef to deploy corresponding computing environments on Clouds based on the workspace descriptions. We also implement a system based on this automatic deployment framework and present a RNA-seq analysis use case to demonstrate how this framework and its system can be used in practice.