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Stream: The stanford data stream management system (2004)
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by
Arvind Arasu
,
Brian Babcock
,
Shivnath Babu
,
John Cieslewicz
,
Keith Ito
,
Rajeev Motwani
,
Utkarsh Srivastava
,
Jennifer Widom
| Citations: | 71 - 0 self |
BibTeX
@INPROCEEDINGS{Arasu04stream:the,
author = {Arvind Arasu and Brian Babcock and Shivnath Babu and John Cieslewicz and Keith Ito and Rajeev Motwani and Utkarsh Srivastava and Jennifer Widom},
title = {Stream: The stanford data stream management system},
booktitle = {},
year = {2004},
publisher = {Springer}
}
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Abstract
Traditional database management systems are best equipped to run onetime queries over finite stored data sets. However, many modern applications such as network monitoring, financial analysis, manufacturing, and sensor networks require long-running, or continuous, queries over continuous unbounded
