Integrity auditing of outsourced data
Min Xie, Haixun Wang, et al.
VLDB 2007
Location-based spatial queries (LBSQs) refer to spatial queries whose answers rely on the location of the inquirer. Efficient processing of LBSQs is of critical Importance with the ever-increasing deployment and use of mobile technologies. We show that LBSQs have certain unique characteristics that the traditional spatial query processing in centralized databases does not address. For example, a significant challenge is presented by wireless broadcasting environments, which have excellent scalability but often exhibit high-latency database access. In this paper, we present a novel query processing technique that, though maintaining high scalability and accuracy, manages to reduce the latency considerably in answering LBSQs. Our approach is based on peer-to-peer sharing, which enables us to process queries without delay at a mobile host by using query results cached in its neighboring mobile peers. We demonstrate the feasibility of our approach through a probabilistic analysis, and we illustrate the appeal of our technique through extensive simulation results. © 2008 IEEE.
Min Xie, Haixun Wang, et al.
VLDB 2007
Wei Fan, Haixun Wang, et al.
ICDM 2002
Jiong Yang, Haixun Wang, et al.
International Journal on Artificial Intelligence Tools
Haixun Wang, Jian Pei, et al.
KDD 2005