Investigating Decision Support Techniques for Automating Cloud Service   Selection
  The compass of Cloud infrastructure services advances steadily leaving users in the agony of choice. To be able to select the best mix of service offering from an abundance of possibilities, users must consider complex dependencies and heterogeneous sets of criteria. Therefore, we present a PhD thesis proposal on investigating an intelligent decision support system for selecting Cloud based infrastructure services (e.g. storage, network, CPU). 
Miranda Zhang, Rajiv Ranjan, Armin Haller, Dimitrios Georgakopoulos,   Peter Strazdins
cs.DC