| DejaVu: declarative pattern matching over live and archived streams of events |
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International Conference on Management of Data
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Proceedings of the 35th SIGMOD international conference on Management of data
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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
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Authors
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Nihal Dindar
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ETH Zurich, Zurich, Switzerland
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Baris Güç
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ETH Zurich, Zurich, Switzerland
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Patrick Lau
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ETH Zurich, Zurich, Switzerland
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Asli Ozal
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ETH Zurich, Zurich, Switzerland
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Merve Soner
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ETH Zurich, Zurich, Switzerland
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Nesime Tatbul
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ETH Zurich, Zurich, Switzerland
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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.
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