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

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. Categories and Subject Descriptors: H.2.4 [Database Management]: Systems ? query processing, relational databases; H.3.4 [Information Storage and Retrieval]: Systems and Software ? current awareness systems; H.4 [Information Systems Applications]: Miscellaneous General Terms: Design

• Type: Conference
• Year: 2009
• Where: SIGMOD
• Authors: Nihal Dindar, Baris Güç, Patrick Lau, Asli Ozal, Merve Soner, Nesime Tatbul
• Keywords: Archived Stream Stores, Database, DejaVu Query Language, Pattern Matching Queries, SIGMOD 2009