Query Processing, Resource Management, and Approximation in a Data Stream Management System
Summary: STREAM implements continuous declarative queries over multiple high-rate streams, combining query optimization with resource-aware scheduling and load management. Provides controlled approximate answers to trade accuracy for timeliness under constrained resources. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rajeev Motwani (Stanford University)
- 2. Jennifer Widom (Stanford University)
- 3. Arvind Arasu (Stanford University)
- 4. Brian Babcock (Stanford University)
- 5. Shivnath Babu (Stanford University)
- 6. Mayur Datar (Stanford University)
- 7. Gurmeet Manku (Stanford University)
- 8. Chris Olston (Stanford University)
- 9. Justin Rosenstein (Stanford University)
- 10. Rohit Varma (Stanford University)
BibTeX Citation
@inproceedings{motwani_cidr03,
address = {Amsterdam, Netherlands},
series = {{CIDR} '03},
title = {{Query Processing, Resource Management, and Approximation in a Data Stream Management System}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Motwani, Rajeev and Widom, Jennifer and Arasu, Arvind and Babcock, Brian and Babu, Shivnath and Datar, Mayur and Manku, Gurmeet and Olston, Chris and Rosenstein, Justin and Varma, Rohit},
year = {2003}
}Incoming Citations (Sorted by Pagerank)
Showing 25 of 75 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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|---|---|---|---|---|
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| 9 | 3,586 | STREAM: The Stanford Stream Data Manager (Demonstration Description) | 2003 | SIGMOD |
| 10 | 26 | Models and Issues in Data Stream Systems | 2002 | PODS |