Flexible Ranking Efficient Information Retrieval for Ranked Query in Cloud

Abstract

Efficient Query Processing using EIRQ Scheme on Cloud Data In a cost efficient cloud environment, a user can accept a certain degree of delay while retrieving information from the cloud to reduce costs. But there are two fundamental issues in such an environment in information retrieving: privacy and efficiency. This paper studies private keyword-based file retrieval scheme that was originally proposed by Ostrovsky to address the aforementioned issues. The scheme allows a user to retrieve files of interest from a un trusted server without leaking any information. The main drawback is that it will cause a heavy querying overhead introduces on the cloud, and thus goes against the original intention of cost efficiency in clouds. To enhance the privacy and efficiency in query processing this paper presents a schema called as efficient information retrieval for ranked query (EIRQ) based on an aggregation and distribution layer (ADL), to reduce querying overhead introduced on the cloud.

Authors and Affiliations

P. Sreekanth, M. Thanigavel, Y. Prathibha Bharathi, T. Sujilatha

Keywords

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  • EP ID EP21153
  • DOI -
  • Views 229
  • Downloads 4

How To Cite

P. Sreekanth, M. Thanigavel, Y. Prathibha Bharathi, T. Sujilatha (2015). Flexible Ranking Efficient Information Retrieval for Ranked Query in Cloud. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(7), -. https://www.europub.co.uk/articles/-A-21153