Business Process Management (BPM) und Business Rules Management (BRM) zusammen in einer service-orientierten Architektur (SOA) sind die methodischen und technischen Voraussetzungen, um Geschäftsprozesse zu industrialisieren und agil zu sein. BPM schafft die Automatisierung und Standardisierung von Geschäftsprozessen, BRM die Standardisierung und Transparenz von Management-Politiken und -Prinzipien. Und eine SOA bringt die Service-Orientierung, die uns erlaubt zwischen spezifischen Logiken einzelner Prozesse und prozessübergreifenden Logiken gebündelter Kompetenzen und Dienstleistungen sauber zu trennen. Das schafft Agilität zusammen mit Industrialisierung.
Most BREs today are deployed as “decision services”, and are used in “stateless” transactions to make “decisions” as a part of a business process. A CEP application is instead processing multiple event streams and sources over time, which requires a “stateful” rule service optimized for long running. This is an important distinction, as a stateful BRE for long-running processes needs to have failover support - the ability to cache its working memory for application restarting or distribution. And of course long-running processes need to be very particular over issues like memory handling - no memory leaks allowed!
The Center for Multisource Information Fusion (CMIF) is a research center based at the University at Buffalo and at a non-profit Western New York research center called CUBRC Inc.. Information fusion allows users to assess complex situations more accurately by combining effectively the core evidence in the massive, diverse and sometimes conflicting data received from multiple sources. CUBRC/UB's partners in the center are the Rochester Institute of Technology, which has expertise in image analysis and visualization, and Pennsylvania State University, which also has a long history in information fusion research focused on the human and cognitive aspects.
Rule-processing is just a style of computation. Of course it is used in BRMS, but it is also used in CEP. CEP systems typically employ rules-based processing to infer higher-order events by matching patterns across many event streams within the event ‘cloud’. BRMS’s use rule processing to match patterns within data tuples representing business-orientated data. CEP systems may support the use of advanced analytics to manage predictive analysis, reasoning under uncertainty and other requirements in relation to the event cloud. Some of the better BRMS’s offer similar analytics in regard to processing business data.
The one, really big, difference between Complex Event Processing and traditional BRMS tools is that the former is loosely associated with EDA and decisions that are based on multiple events, whereas the latter is more associated with conventional request-reply SOA and automating decisions made in managed business processes.
D. Kulkarni, and A. Tripathi. SACMAT '08: Proceedings of the 13th ACM symposium on Access control models and technologies, page 113--122. New York, NY, USA, ACM, (2008)