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@article{145819,
        author = {G.MAHIDHAR SAI and M.SREEDEVI},
        title = {Towards Differential Query Services in Cost-Efficient Clouds},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {11},
        pages = {911-919},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145819},
        abstract = {Cloud computing as an emerging technology trend is expected to reshape the advances in information technology an Efficient Information Retrieval for Ranked Queries (EIRQ) scheme is recovery of ranked files on user demand. An EIRQ worked based on the Aggregation and Distribution Layer (ADL). An ADL is act as mediator between cloud and end-users. An EIRQ scheme reduces the communication cost and communication overhead. Mask Matrix is used to filter out as what user really wants matched data before recurring to the Aggregation and Distribution Layer (ADL). 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 To avoid small scale of interruptions in cloud computing, follow two essential issues: - Privacy and Efficiency. Private keyword based file retrieval scheme was anticipated by Ostrovsky.},
        keywords = {Cloud Computing, Cost Efficiency, Differential Query Services, Privacy.},
        month = {},
        }