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DejaVu: declarative pattern matching over live and archived streams of events

Published: 29 June 2009 Publication History

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

[1]
NYSE Data Solutions. http://www.nyxdata.com/nysedata/.
[2]
Second Life. http://www.secondlife.com/.
[3]
StreamSQL. http://www.streamsql.org/.
[4]
A. Arasu, S. Babu, and J. Widom. The CQL Continuous Query Language: Semantic Foundations and Query Execution. VLDB Journal, 15(2), 2006.
[5]
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.
[6]
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.
[7]
A. Lerner and D. Shasha. The Virtues and Challenges of Ad Hoc + Streams Querying in Finance. IEEE Data Engineering Bulletin, 26(1), March 2003.
[8]
S. Pachev. Understanding MySQL Internals. O'Reilly, 2007.
[9]
S. Rizvi, S. R. Jeffery, S. Krishnamurthy, M. J. Franklin, N. Burkhart, A. Edakkunni, and L. Liang. Events on the Edge (Demo). In ACM SIGMOD Conference, Baltimore, MD, June 2005.
[10]
F. Zemke, A. Witkowski, M. Cherniack, and L. Colby. Pattern Matching in Sequences of Rows. Technical Report ANSI Standard Proposal, July 2007.

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  • (2018)Querying Workflow LogsInformation10.3390/info90200259:2(25)Online publication date: 25-Jan-2018
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cover image ACM Conferences
SIGMOD '09: Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
June 2009
1168 pages
ISBN:9781605585512
DOI:10.1145/1559845
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 June 2009

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Author Tags

  1. complex event processing
  2. data streams
  3. mysql
  4. pattern matching
  5. rfid
  6. second life

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SIGMOD/PODS '09
Sponsor:
SIGMOD/PODS '09: International Conference on Management of Data
June 29 - July 2, 2009
Rhode Island, Providence, USA

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Overall Acceptance Rate 785 of 4,003 submissions, 20%

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  • (2020)BAD to the bone: Big Active Data at its coreThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-020-00616-729:6(1337-1364)Online publication date: 23-May-2020
  • (2019)A Unified Framework for Frequent Sequence Mining with Subsequence ConstraintsACM Transactions on Database Systems10.1145/332148644:3(1-42)Online publication date: 5-Jun-2019
  • (2018)Querying Workflow LogsInformation10.3390/info90200259:2(25)Online publication date: 25-Jan-2018
  • (2017)Reflections on Almost Two Decades of Research into Stream ProcessingProceedings of the 11th ACM International Conference on Distributed and Event-based Systems10.1145/3093742.3095110(21-23)Online publication date: 8-Jun-2017
  • (2017)Design principles of a stream-based framework for mobility analysisGeoinformatica10.1007/s10707-016-0256-z21:2(237-261)Online publication date: 1-Apr-2017
  • (2016)Breaking BADProceedings of the 10th ACM International Conference on Distributed and Event-based Systems10.1145/2933267.2933313(181-186)Online publication date: 13-Jun-2016
  • (2016)DESQ: Frequent Sequence Mining with Subsequence Constraints2016 IEEE 16th International Conference on Data Mining (ICDM)10.1109/ICDM.2016.0092(793-798)Online publication date: Dec-2016
  • (2015)An algebra for pattern matching, time-aware aggregates and partitions on relational data streamsProceedings of the 9th ACM International Conference on Distributed Event-Based Systems10.1145/2675743.2771830(140-149)Online publication date: 24-Jun-2015
  • (2015)A Complex Event Processing Toolkit for Detecting Technical Chart PatternsProceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium Workshop10.1109/IPDPSW.2015.83(547-556)Online publication date: 25-May-2015
  • (2015)A Hybrid Processing System for Large-Scale Traffic Sensor DataIEEE Access10.1109/ACCESS.2015.25002583(2341-2351)Online publication date: 2015
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