A sampling-based approach to information recovery
Junyi Xie, Jun Yang, et al.
ICDE 2008
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 traditional spatial query processing in centralized databases does not address. For example, a significant challenge is presented by wireless broadcasting environments, which often exhibit high-latency database access. In this paper, we present a novel query processing technique that, while maintaining high scalability and accuracy, manages to reduce the latency considerably in answering location-based spatial queries. 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 illustrate the appeal of our technique through extensive simulation results. © 2007 IEEE.
Junyi Xie, Jun Yang, et al.
ICDE 2008
Ruoming Jin, Yang Xiang, et al.
SIGMOD 2008
Haixun Wang, Hao He, et al.
ICDE 2006
Charu C. Aggarwal, Haixun Wang
ICDE 2011