Efficient Information Retrieval in Cost-Effective Cloud Environment with Privacy Preserving

Cloud computing as an emerging technology trend is expected to reshape the advances in information technology. With the increasing popularity of cloud computing there is increased motivation to outsource data services to the cloud to save money. An important problem in cloud environment is to protect user’s privacy while querying data from the cloud. The researchers have proposed several techniques to address this problem. However, existing technologies incur heavy computational cost and bandwidth related cost. In this paper we propose an aggregation and distribution layer (ADL), we present scheme, termed efficient information retrieval for ranked query (EIRQ), to further reduce querying costs incurred in the cloud. All the queries will be grouped into multiple ranks, such that a higher ranked query can retrieve a higher percentage of matched files. The users are allowed to enter the file name also in case if he knows the exact file to be retrieved. This will help to stop the retrieval of unnecessary files that would have been fetched if only keywords were used.