Authors: Xiaoling Wang, Aoying Zhou, Wilfred Ng
Addresses: Shanghai Key Laboratory of Trustworthy Computing, Software Engineering Institute, East China Normal University, ZhongShan North Road 3663, Shanghai, 200062, P.R. China. ' Shanghai Key Laboratory of Trustworthy Computing, Software Engineering Institute, East China Normal University, ZhongShan North Road 3663, Shanghai, 200062, P.R. China. ' Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
Abstract: More and more frequently, database-as-a-service (DAAS) applications are emerging on the web. In this paper, we address the problem of evaluating a heavy load of subscribed queries in the DAAS model, where the traditional XML data management strategy leads to many drawbacks, such as overload of the service provider and the waste of bandwidth when a large number of service queries are executed on the service provider due to huge XML message sizes. We propose a new framework to efficiently process multi-queries among the cooperative service clients. System maintenance issues are also discussed. The experimental results demonstrate that the proposed approach substantially saves more bandwidth than traditional ones.
Keywords: database-as-a-service; DAAS; multi-query processing; XML queries; XML compression; multiple queries; system maintenance; bandwidth.
International Journal of Business Process Integration and Management, 2009 Vol.4 No.4, pp.266 - 273
Available online: 26 Mar 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article