# A Blast from the Past: Processing Patterns for Predictive Business, March 2006

**URL:** <https://community.unix.com/t/a-blast-from-the-past-processing-patterns-for-predictive-business-march-2006/204184>\
**Category:** Complex Event Processing RSS News\
**Created:** [July 9, 2008, 3:40am UTC](https://community.unix.com/t/a-blast-from-the-past-processing-patterns-for-predictive-business-march-2006/204184 "2008-07-09T03:40:03Z")\
**Posts on this page:** 1\
**Page:** 1

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**Post date:** [July 9, 2008, 3:40am UTC](https://community.unix.com/t/a-blast-from-the-past-processing-patterns-for-predictive-business-march-2006/204184/1 "2008-07-09T03:40:03Z")

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Tim Bass  
Wed, 09 Jul 2008 07:22:26 +0000  
For\*readers interested in complex event processing and a few of the challenges the industry faces, here is a presentation from 28 months back called [Processing Patterns for Predictive Business](http://http://www.complexevents.com/slides/TIBCO_MARCH_2006.ppt).\*\* This presentation was delivered at the first [Workshop on Event Processing - Presentations](http://complexevents.com/?page_id=87)\*at IBM Research Labs, Yorktown Heights, March 14-16th 2006.  
The same key points of that presentation are still relevant today:

1. Event-Decision Processing is Computationally Intensive
2. CEP requires a Number of Technologies:

- Distributed Computing, Publish/Subscribe and SOA
- Hierarchical, Cooperative Inference Processing
- High Speed, Real Time Processing with State Management
- Event-Decision Architecture for Complex Situations and Events
- There is no single �CEP Solution� or �CEP Product� (in the market place then, and today)

1. CEP needs a Common Vocabulary and Functional Architecture based on Mature, Industry-Standard Inference Models
2. Processing and Integration Patterns for CEP need to be Developed and Formalized  
Since March of 2006 a number of other challenges_has surfaced._ I will elaborate on this challenges in a future post.

[Source...](http://www.thecepblog.com/2008/07/09/a-blast-from-the-past-processing-patterns-for-predictive-business-march-2006/)