Title :
Complex Event Processing using Simple Rule-based Event Correlation Engines for Business Performance Management
Author :
Chen, Shyh-Kwei ; Jeng, Jun-Jang ; Chang, Henry
Author_Institution :
IBM T.J. Watson Res. Center, Yorktown Heights, NY
Abstract :
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
Keywords :
business data processing; management; XML format; Zurich Correlation Engine; business performance management; complex event processing; model-driven approach; simple rule-based event correlation engines; Adaptive algorithm; Algorithm design and analysis; Business communication; Engines; Event detection; Filtering; Middleware; Monitoring; XML;
Conference_Titel :
E-Commerce Technology, 2006. The 8th IEEE International Conference on and Enterprise Computing, E-Commerce, and E-Services, The 3rd IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7695-2511-3
DOI :
10.1109/CEC-EEE.2006.25
