Song, Zhe2013-03-182016-03-312013-03-182016-03-312013380960370http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-82623http://elib.uni-stuttgart.de/handle/11682/3041http://dx.doi.org/10.18419/opus-3024Cloud computing enables the computing resources to be available for purchase on demand. The benefits like elasticity, exibility and expenditure reduction attract many enterprises to consider the migration of their applications to the Cloud. By the rapid expansion of Cloud computing market and the maturation of the offered solutions, the consumers have more and more choices in selecting Cloud offerings. However, when they face a large number of Cloud offerings which have similar features, an appropriate choice will be the key to guarantee a comparatively low operational cost. In this thesis, we propose a decision support system for application migration to the Cloud, by which consumers are able to obtain recommendations on selecting suitable Cloud services. We have evaluated this system with appropriate test cases and compared it with the existing tools and frameworks.eninfo:eu-repo/semantics/openAccess004masterThesis