Learning response time for WebSources using query feedback and application in query optimization

Learning response time for WebSources using query feedback and application in query optimization The VLDB Journal (2000) 9: 18–37 The VLDB Journal c Springer-Verlag 2000 Learning response time for WebSources using query feedback and application in query optimization 1 2 2 2 Jean-Robert Gruser , Louiqa Raschid , Vladimir Zadorozhny , Tao Zhan Netforce, Levallois-Perret, France, E-mail: gruser@netforce.fr University of Maryland, College Park, MD 20742, USA; E-mail: flouiqa,vladimir,taozhang@umiacs.umd.edu Edited by P. Atzeni and A.O. Mendelzon. Received June 22, 1999 / Accepted December 24, 1999 Abstract. The rapid growth of the Internet and support for Key words: Data-intensive applications on the Web – Query interoperability protocols has increased the number of Web languages and systems for Web data accessible sources, WebSources. Current wrapper mediator architectures need to be extended with a wrapper cost model (WCM) for WebSources that can estimate the response time (delays) to access sources as well as other relevant statistics. 1 Introduction In this paper, we present a Web prediction tool (WebPT), a tool that is based on learning using query feedback from The rapid growth of the Internet and Intranets, and the emer- WebSources. The WebPT uses dimensions time of day, day, gence of interchange formats, e.g., XML, that facilitate the and quantity of data, to learn response times http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The VLDB Journal Springer Journals

Learning response time for WebSources using query feedback and application in query optimization

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Publisher
Springer-Verlag
Copyright
Copyright © 2000 by Springer-Verlag Berlin Heidelberg
Subject
Computer Science; Database Management
ISSN
1066-8888
eISSN
0949-877X
D.O.I.
10.1007/s007780050081
Publisher site
See Article on Publisher Site

Abstract

The VLDB Journal (2000) 9: 18–37 The VLDB Journal c Springer-Verlag 2000 Learning response time for WebSources using query feedback and application in query optimization 1 2 2 2 Jean-Robert Gruser , Louiqa Raschid , Vladimir Zadorozhny , Tao Zhan Netforce, Levallois-Perret, France, E-mail: gruser@netforce.fr University of Maryland, College Park, MD 20742, USA; E-mail: flouiqa,vladimir,taozhang@umiacs.umd.edu Edited by P. Atzeni and A.O. Mendelzon. Received June 22, 1999 / Accepted December 24, 1999 Abstract. The rapid growth of the Internet and support for Key words: Data-intensive applications on the Web – Query interoperability protocols has increased the number of Web languages and systems for Web data accessible sources, WebSources. Current wrapper mediator architectures need to be extended with a wrapper cost model (WCM) for WebSources that can estimate the response time (delays) to access sources as well as other relevant statistics. 1 Introduction In this paper, we present a Web prediction tool (WebPT), a tool that is based on learning using query feedback from The rapid growth of the Internet and Intranets, and the emer- WebSources. The WebPT uses dimensions time of day, day, gence of interchange formats, e.g., XML, that facilitate the and quantity of data, to learn response times

Journal

The VLDB JournalSpringer Journals

Published: Mar 1, 2000

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