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The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06)
Complex Event Processing using Simple Rule-based Event Correlation Engines for Business Performance Management
San Francisco, CA
June 26-June 29
ISBN: 0-7695-2511-3
Shyh-Kwei Chen, IBM T.J. Watson Research Center
Jun-Jang Jeng,, IBM T.J. Watson Research Center
Henry Chang, IBM T.J. Watson Research Center
Event correlation is an important component in business performance management. Simple rule-based event correlation engines, like Zurich Correlation Engine (ZCE), usually accept input events that include only name-value pairs. However, when input events are in XML format, the ZCE needs to be adapted to accept complex/structural events. In this paper, we present a model-driven approach to derive solutions for adapting the new type of events, so that the light weight correlation engine can still be used for event monitoring and correlation.
Citation:
Shyh-Kwei Chen, Jun-Jang Jeng,, Henry Chang, "Complex Event Processing using Simple Rule-based Event Correlation Engines for Business Performance Management," cec-eee, pp.3, The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (CEC/EEE'06), 2006
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