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DejaVu: Declarative Pattern Matching over Live and Archived Streams of Events

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    Publication properties
    Title: DejaVu: Declarative Pattern Matching over Live and Archived Streams of Events
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    Date: 2009
    Publication type: Conference paper
    Authors:
    No. First name Last name Show
    1. Nihal Dindar
    2. Baris Guc
    3. Patrick Lau
    4. Asli Özal
    5. Merve Soner
    6. Nesime Tatbul
    Download (from PubZone): Download
    Download (by DOI): 10.1145/1559845.1559971
    BibTeX: conf/sigmod/DindarGLOST09
    DBLP: db/conf/sigmod/sigmod2009.html#DindarGLOST09
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    Conference Track
    Conference Name: ACM SIGMOD International Conference on Management of Data, SIGMOD 2009, Providence, Rhode Island, USA, June 29 - July 2, 2009 2009
    Track Name: Demo
    URL: http://www.sigmod09.org/

    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.