Constraint-aware complex event pattern detection over streams
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part II
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Event stream processing (ESP) technologies enable enterprises applications such as algorithmic trading, RFID data processing, fraud detection and location-based services in telecommunications. In real-life event-based systems, constraints such as workflows often hold among the event data. We propose E-Tec (constraint-aware query Engine for pattern deTection over event streams) in this demonstration to demonstrate a constraint-aware query processing framework over event streams. Given the constraint of the input event stream, E-Tec on the fly checks the query satisfiability / unsatisfiability using a lightweight reasoning framework. Based on such runtime constraint, E-Tec can adjust the processing strategy dynamically, by either producing early feedbacks, releasing unnecessary resources (buffer and CPU) and terminating corresponding pattern monitor, thus effectively decreasing the resource consumption and expediting the system response on certain situation alerts.