The Design of the Borealis Stream Processing Engine
Summary: Borealis extends Aurora and Medusa into a distributed second-generation stream engine, adding revision records, time-travel and control-lines to support dynamic query and result revision for real-world streaming applications. Also introduces a cross-network QoS-driven optimizer spanning servers and sensors and a tunable fault-tolerance model that trades consistency for availability. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Daniel J. Abadi (Massachusetts Institute of Technology)
- 2. Yanif Ahmad (Brown University)
- 3. Magdalena Balazinska (Massachusetts Institute of Technology)
- 4. Ugur Cetintemel (Brown University)
- 5. Mitch Cherniack (Brandeis University)
- 6. Jeong-Hyon Hwang (Brown University)
- 7. Wolfgang Lindner (Massachusetts Institute of Technology)
- 8. Anurag S. Maskey (Brandeis University)
- 9. Alexander Rasin (Brown University)
- 10. Esther Ryvkina (Brandeis University)
- 11. Nesime Tatbul (Brown University)
- 12. Ying Xing (Brown University)
- 13. Stan Zdonik (Brown University)
BibTeX Citation
@inproceedings{abadi_cidr05,
address = {Amsterdam, Netherlands},
series = {{CIDR} '05},
title = {{The Design of the Borealis Stream Processing Engine}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Abadi, Daniel J. and Ahmad, Yanif and Balazinska, Magdalena and Cetintemel, Ugur and Cherniack, Mitch and Hwang, Jeong-Hyon and Lindner, Wolfgang and Maskey, Anurag S. and Rasin, Alexander and Ryvkina, Esther and Tatbul, Nesime and Xing, Ying and Zdonik, Stan},
year = {2005}
}Incoming Citations (Sorted by Pagerank)
Showing 45 of 95 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,033 | Load Shedding in Stream Databases: A Control-Based Approach | 2006 | VLDB |
| 2 | 8,663 | Scalable Delivery of Stream Query Result | 2009 | VLDB |
| 3 | 5,521 | Staying FIT: Efficient Load Shedding Techniques for Distributed Stream Processing | 2007 | VLDB |
| 4 | 167 | Monitoring Streams – A New Class of Data Management Applications | 2002 | VLDB |
| 5 | 3,776 | Fault-tolerant Stream Processing using a Distributed, Replicated File System | 2008 | VLDB |
| 6 | 1,090 | Scalable Distributed Stream Processing | 2003 | CIDR |
| 7 | 9,643 | Borealis-R: A Replication-Transparent Stream Processing System for Wide-Area Monitoring Applications | 2008 | SIGMOD |
| 8 | 1,789 | Fault-Tolerance in the Borealis Distributed Stream Processing System | 2005 | SIGMOD |
| 9 | 5,241 | Load Management and High Availability in the Medusa Distributed Stream Processing System | 2004 | SIGMOD |
| 10 | 4,830 | Distributed Operation in the Borealis Stream Processing Engine | 2005 | SIGMOD |