MDT-Auction: A New Approach for Decision Making to map the best cloud provider to best cloud user

The word Cloud has been a buzzword since last few years but there is been lot of confusion happening in the cloud market with respect to selection of cloud provider at the cheapest prize and achieving the highest resource efficiency for the cloud providers. Its always a difficult decision when a customer has to select a Cloud service provider because there are no established guidelines to help to make a decision. We need to consider several, and often conflicting, criteria to compare different Cloud services from multiple providers, the decision is even more difficult. To address this problem, in this paper we propose a MDT-Auction (Microsoft Decision Tree with Double Sided Auction) algorithm which work like decision making system for cloud provider selection problem. The system is designed based on a combinatorial double auction, and its effectiveness and applicability are evaluated in terms of resource efficiency and monetary benefits to auction participants (e.g., cloud providers and users). The proposed methods apply MDT approach to integrate qualitative predicated data with the auction based mechanism. We demonstrate that the MDT-Auction approach provides a robust analysis for cloud provider selection by appropriately trading off predicted selection with criterion, which would give best decision as compare to other systems in market. Keywords—Cloud provider, Cloud services, Decision model, Auction, Provider selection, Microsoft decision tree