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

fYear

2006

fDate

26-29 June 2006

Firstpage

3

Lastpage

3

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CEC-EEE.2006.25

Filename

1640258