Publication

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.

@inproceedings{abc,
	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.},
	author = {Nihal Dindar and Baris Guc and Patrick Lau and Asli {\"O}zal and Merve Soner and Nesime Tatbul},
	booktitle = {Demo},
	title = {DejaVu: Declarative Pattern Matching over Live and Archived Streams of Events},
	url = {http://doi.acm.org/10.1145/1559845.1559971},
	year = {2009}
}