Volume : V, Issue : V, May - 2016

Towards Assorted Query Services In CostEfficient Clouds

K. Mahendra, T. Abdul Raheem

Abstract :

 Cloud computing as an emerging technology trend is estimated to reshape the advances in information technology. In a cost–efficient cloud environment, a user can abide a certain degree of delay while retrieving information from the cloud to reduce costs. In this paper, we deal with two fundamental issues in such an environment: privacy and efficiency. We first evaluate a private keyword–based file retrieval scheme that was originally proposed by Ostrovsky. Their scheme allows a user to access files of interest from an untrusted server without leaking any information. The main drawback is that it will cause an extreme querying overhead incurred on the cloud, and thus goes against the original intention of cost efficiency. In this paper, we present a scheme, termed efficient information retrieval for ranked query (EIRQ), based on an aggregation and distribution layer (ADL), to reduce querying overhead incurred on the cloud. In EIRQ, queries are classified into multiple ranks, where a higher ranked query can retrieve a higher percentage of matched files. A user can retrieve files on demand by choosing queries of different ranks. This feature is useful when there are a large number of matched files, but the user only needs a small subset of them. Under different parameter settings, extensive evaluations have been conducted on both analytical models and on a real cloud environment, in order to examine the effectiveness of our schemes.

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Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

K.Mahendra, T.Abdul Raheem Towards Assorted Query Services In CostEfficient Clouds International Journal of Scientific Research, Vol : 5, Issue : 5 MAY 2016

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