C-DRM: Coalesced P-TOPSIS Entropy Technique addressing Uncertainty in Cloud Service Selection

Cloud Computing is diversified with its services exponentially and lured large number of consumers towards the technology indefinitely. It has become a highly challenging problem to satiate user requirements. Most existing system ingest search space or provide inappropriate service; hence, there need for reliable competent service selection/ranking in cloud environment. The proposed work introduces novel pruning method Dual Ranking Method (DRM) rank from n terms conserving providing quenching requirements as well. focusing on uncertainty preferences along their priorities; converting it weights use Jensen-Shannon (JS) Entropy Function. ranking employed through Priority-Technique Order Preference by Similarity Ideal Solution (P-TOPSIS) complexity reduced Utility Pruning method. performance Clustering – (C-DRM) estimated accuracy, Closeness Index (CI) have been validated case study where results outperforms approaches