Tim Bass
Wed, 09 Jan 2008 11:09:46 +0000
Before announcing the winners of the 2007 CEP Blog Awards I thought it would be helpful to introduce the award categories to our readers.
I have given considerable thought to how to structure The CEP Blog Awards.** This was not an easy task, asyou might imagine,given the confusion in the event processing marketspace.* So here goes.
For the 2007 CEPBlog AwardsI have created threeevent processing categories.** Here are the categories and a brief description of each one:
The CEP Blog Award forRule-Based Event Processing
Preface:I was also inclined to call this category �process-basedevent processing� or �control-based event processing�and might actually do so in the future.* As always, your comments and feedback are important and appreciated.
Rule-based (or process-based) event processing is a major subcategory of event processing.Rule-based approaches to event processing are very useful for stateful event-driven process control, track and trace, dynamic resource management and basic pattern detection (see slide 12 of this presentation). Rule-based approaches are optimal for a wide-range of production-related event processing systems.
However, just like any system, there are engineering trade-offs using this approach. Rule-based systems tend not to scale well when the number of rules (facts) are large.* Rule-based approaches can also be difficult to manage in a distributed multi-designer environment.* Moreover, rule-basedapproaches are suboptimal for self-learning andtend not*toprocess uncertaintly very well. Never the less, rule-based event processing is a very important* CEP category.
The CEP Blog Award for Event Stream Processing
Stream-centric approaches to event processing are also a very important overall category of event processing.* Unlike a stateful, process-driven rule-based approach, event stream processing optimizes high performance continuous queries over sliding time windows.* High performance, lowlatency event processingis one of the main design goals for many stream processing engines.*
Continuous queries over event streams are genenerally designed to beexecuted in milliseconds, seconds and perhaps a bitlonger time intervals.** Process-driven event processing, on the other hand, can manage processes, resources, states and patterns over* long time intervals,for example,hours and days, notjust milliseconds and seconds.*
Therefore, event stream processingtends to beoptimized for a different set of problems than process-based (which I am calling rule-based this year) event processing.* Similar to rule or process-based approaches, most current stream processing engines do not manage or deal with probability, likelihoodand uncertainty very well (if at all).
The CEPBlog Award* for Advanced Event Processing
For a lack of a better term, I call this category advanced event processing.** Advanced event processingwill more-than-likelyhave a rule-based and/or a stream-based event processing component.** However, to be categorized as advanced event processing software the software platform must also be able to perform more advanced event processing that can deal with probability, fuzzy logic and/or*uncertainty.** Event processing software in this category should also have the capability to automatically learn, or be trained, similar to artifical neural networks.**
Some of my good colleaguesmight prefer to call this category AI-capable event processing (or intelligent event processing), but I prefer to call this award category advanced event processing for the 2007 awards. If you like the term intelligent event processing, let�s talk about this in 2008!
Ideally, advanced event processing software should have plug-in modules that permit the event processing architect, or systems programmer, to select and configureone or more different analytical methods at design-time.** The results from one method should be available to other methods, for example the output of a stream processing modulemight be the input to a neural network (NN)or Bayesian Belief (BN)*module.* In another example pipeline operation, the output of a Bayesian classifier*couldbe the input to a process or rule-based event processing module within the same run-time environment.
For all three categories for 2007, there should be a graphical user interface for design-time construction and modeling.*** There should also be a robust run-time environment and most, ifnot all, of the other �goodies� that we expect from event processing platforms.
Most importantly, there should be reference customers for the software and the company.** The CEP Blog Awards will be only given to companies with a proven and publiccustomer base.
In my next post on this topic, I�ll name the Awardees for 2008.*** Thank you for standing by.* If you have any questions or comments, please contact me directly.
