Investigating Decision Support Techniques for Automating Cloud Service Selection
arXiv:1210.3077 · doi:10.1109/CloudCom.2012.6427501
Abstract
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).
Accepted by IEEE Cloudcom 2012 - PhD consortium track