Decision support for different migration types of applications to the Cloud

Abstract

Cloud computing brings many benefits to the enterprises who decide to migrate their applications to the Cloud partially or completely. This thesis focuses on helping users finding the most cost-efficient between different Cloud offerings which have similar features. Data from several Cloud providers are collected and organized in order to implement a Cloud provider knowledge base exposed as a set of web services. These services are validated against other similar systems and exposed as RESTful APIs. A decision support system is built in this work based on these APIs and evaluated by an existing use case with different migration plans.