Efficient Access of Data Resources in Cloud

An attempt towards developing time efficient cloud computing architecture, by considering the deficiencies with respect to existing clouds, better ontology-based cloud information architecture is proposed in this thesis. In this architecture, additional modules on query retrieval and query refinement are added for better performance. Rocchio technique is used for query refinement to extract results with respect to relevance criterion is adopted. The proposed architecture gives better-indexed results after transforming the user query. Further, the cloud customers are provided with a flexible, scalable and pay per use services via many cloud vendors, security becomes a major issue. Hence, the article also proposes an alternate authentication technique for generating password at client end towards secured data access from cloud and it also prevents third party from accessing data at client side.