Efficient Information Retrieval for Ranked Queries in Cost-Effective Cloud Environments

被引:0
|
作者
Liu, Qin [1 ,2 ]
Tan, Chiu C. [2 ]
Wu, Jie [2 ]
Wang, Guojun [1 ]
机构
[1] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Hunan, Peoples R China
[2] Temple Univ, Dept Comp & Informat Sci, Philadelphia, PA 19122 USA
关键词
Cloud computing; efficiency; privacy;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Cloud computing as an emerging technology trend is expected to reshape the advances in information technology. In this paper, we address two fundamental issues in a cloud environment: privacy and efficiency. We first review a private keyword-based file retrieval scheme proposed by Ostrovsky et. al. Then, based on an aggregation and distribution layer (ADL), we present a scheme, termed efficient information retrieval for ranked query (EIRQ), to further reduce querying costs incurred in the cloud. Queries are classified into multiple ranks, where a higher ranked query can retrieve a higher percentage of matched files. Extensive evaluations have been conducted on an analytical model to examine the effectiveness of our scheme.
引用
收藏
页码:2581 / 2585
页数:5
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