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DejaVu: declarative pattern matching over live and archived streams of events
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International Conference on Management of Data archive
Proceedings of the 35th SIGMOD international conference on Management of data table of contents
Providence, Rhode Island, USA
DEMONSTRATION SESSION: Demonstration session: group A table of contents
Pages 1023-1026  
Year of Publication: 2009
ISBN:978-1-60558-551-2
Authors
Nihal Dindar  ETH Zurich, Zurich, Switzerland
Baris Güç  ETH Zurich, Zurich, Switzerland
Patrick Lau  ETH Zurich, Zurich, Switzerland
Asli Ozal  ETH Zurich, Zurich, Switzerland
Merve Soner  ETH Zurich, Zurich, Switzerland
Nesime Tatbul  ETH Zurich, Zurich, Switzerland
Sponsors
ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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ABSTRACT

DejaVu is an event processing system that integrates declarative pattern matching over live and archived streams of events on top of a novel system architecture. We propose to demonstrate the key aspects of the DejaVu query language and architecture using two different application scenarios, namely a smart RFID library system and a financial market data analysis application. The demonstration will illustrate how DejaVu can uniformly handle one-time, continuous, and hybrid pattern matching queries over live and archived stream stores, using highly interactive visual monitoring tools including one that is based on the Second Life virtual world.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
NYSE Data Solutions. http://www.nyxdata.com/nysedata/.
 
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Second Life. http://www.secondlife.com/.
 
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StreamSQL. http://www.streamsql.org/.
 
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A. Demers, J. Gehrke, B. Panda, M. Riedewald, V. Sharma, and W.White. Cayuga: A General Purpose Event Monitoring System. In CIDR Conference, Asilomar, CA, January 2007.
 
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D. Gyllstrom, E.Wu, H. Chae, Y. Diao, P. Stahlberg, and G. Anderson. SASE: Complex Event Processing over Streams (Demo). In CIDR Conference, Asilomar, CA, January 2007.
 
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A. Lerner and D. Shasha. The Virtues and Challenges of Ad Hoc + Streams Querying in Finance. IEEE Data Engineering Bulletin, 26(1), March 2003.
 
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F. Zemke, A. Witkowski, M. Cherniack, and L. Colby. Pattern Matching in Sequences of Rows. Technical Report ANSI Standard Proposal, July 2007.

Collaborative Colleagues:
Nihal Dindar: colleagues
Baris Güç: colleagues
Patrick Lau: colleagues
Asli Ozal: colleagues
Merve Soner: colleagues
Nesime Tatbul: colleagues