An Approach for Optimal Preference of Providers Offering Cloud Services Using Decision Making involving Multiple Criteria

Cloud computing provides on-demand delivery of various services over the Internet and used by many users now days. Numerous IT organization have engaged themselves in providing Cloud service and choosing the best CSP has become great challenge for users, which could be solved by incorporating ranking system. In ranking, multiple criteria should be analyzed for each CSP, thus it comes under MCDM problem where multiple criteria is analyzed for multiple providers to rank the CSPs accordingly. This paper incorporates two proposed MCDM techniques Aggregative and Accumulative Stacked Ordering Model(ASOM) and Absolute Aggregative Model for Stacked Divergence(AAMSD) and normalization technique Stacked Matrix Normalization(SMN). We have compared the proposed approach with the existing MCDM approaches Weighted Sum Model (WSM), Weighted Product Model (WPM) and Technique for Order of Preferences by Similarity to Ideal Solution (TOPSIS). The results clearly show that the proposed approach outperforms the existing approaches in-terms of computational complexity and consistency.