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CQ: A Personalized Update Monitoring Toolkit

Ling Liu, Calton Pu, Wei Tang, David Buttler, John Biggs, Tong Zhou, Paul Benninghoff, Wei Han, Fenghua Yu

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Abstract

The CQ project at OGI, funded by DARPA, aims at developing a scalable toolkit and techniques for update monitoring and event-driven information delivery on the net. The main feature of the CQ project is a "personalized update monitoring" toolkit based on continual queries. Comparing with the pure pull (such as DBMSs, various web search engines) and pure push (such as Pointcast, Marimba, Broadcast disks) technology, the CQ project can be seen as a hybrid approach that combines the pull and push technology by supporting personalized update monitoring through a combined client-pull and server-push paradigm.

References

References, where available, link to the DBLP on the World Wide Web.

[1]

Ling Liu, Calton Pu: Dynamic Query Processing in DIOM. Data Engineering Bulletin 20(3): 30-37(1997)

[2]

Ling Liu, Calton Pu: A Dynamic Query Scheduling Framework for Distributed and Evolving Information Systems. ICDCS 1997: 0-

[3]

Ling Liu, Calton Pu, Roger S. Barga, Tong Zhou: Differential Evaluation of Continual Queries. ICDCS 1996: 458-465

BIBTEX

@inproceedings{DBLP:conf/sigmod/LiuPTBBZBHY98,
author = {Ling Liu and
Calton Pu and
Wei Tang and
David Buttler and
John Biggs and
Tong Zhou and
Paul Benninghoff and
Wei Han and
Fenghua Yu},
editor = {Laura M. Haas and
Ashutosh Tiwary},
title = {CQ: A Personalized Update Monitoring Toolkit},
booktitle = {SIGMOD 1998, Proceedings ACM SIGMOD International Conference
on Management of Data, June 2-4, 1998, Seattle, Washington, USA},
publisher = {ACM Press},
year = {1998},
isbn = {0-89791-955-5},
pages = {547-549},
crossref = {DBLP:conf/sigmod/98},
bibsource = {DBLP, http://dblp.uni-trier.de}
}