Replication-Aware Query Processing in Large-Scale Distributed Information Systems
DocUID: 2006-010 Full Text:
PDF Author: Jie Xu, Alexandros Labrinidis
Abstract: In this work, we address the problem of replica selection in distributed query processing over the Web, in the presence of user preferences for Quality of Service and Quality of Data. In particular, we propose RAQP, which stands for Replication-Aware Query Processing. RAQP uses an initial statically-optimized logical plan, and then selects the execution site for each operator and also selects which replica to use, thus converting the logical plan to an executable plan. Unlike prior work, we do not perform an exhaustive search for the second phase, which allows RAQP to scale significantly better. Extensive experiments show that our scheme can provide improvements in both query response time and overall quality of QoS and QoD as compared to random site allocation with iterative improvement.
Published In: Proc. of the Nineth International ACM Workshop on the Web and Databases
Pages: pp. 49-54
Place Published: Chicago, IL
Year Published: 2006
Note: held in conjunction with the SIGMOD 2006 Conference
Project: S-CITI Subject Area: Query Processing
Publication Type: Workshop Paper
Sponsor: NSF ITR ANI-0325353