Complex Systems and CEP

A complex system is defined as a system composed of related components that as a whole exhibit one or more properties not obvious from the easily observed properties of the individual parts.  This is certainly true of the CEP notion of the “event cloud” in network systems.   A modern energy or telecommunications network is [...]

Quintessential Event Processing: Signature Versus Anomaly Detection

Detection experts understand that the optimal detection design and architecture is generally a combination of both signature and anomaly detection engines.   In event processing, signature detection involves the real-time pattern matching analysis of events.   A core advantage of signature detection is that basic pattern matching models are easy to understand and develop [...]

Twenty Four CEP Public Presentations on SlideShare

For archiving purposes, I have uploaded 24 public CEP presentations that I presented over an 18 month period at various conferences from March 14, 2006 to September 21, 2007.  These presentations can be viewed here.  For example, my first public CEP presentation:
View SlideShare presentation or Upload your own. (tags: event processing)
So far, I have placed [...]

The Motivation Behind Adaptive Analytics and CEP

This is a continuation of The Genesis of Complex Event Processing: Asymmetric Capabilities and CEP, Event Noise and Asymmetric Event Processing where I have been discussing the motivation behind CEP and adaptive analytics in cyberspace.
Around the same time that Professor Luckham and his team was working on CEP applications in network management and security management, [...]

TIBCO BusinessEvents 3.0

I was pleased to read the Paul Vincent’s post, TIBCO BusinessEvents 3.0.    TIBCO has always had a forward thinking vision for distributed computing and this release of BE 3.0 is another step in the right direction.  TIBCO now has the only commercial-off-the-shelf (COTS) event processing platform on the market that supports distributed event processing, multi-agent [...]

Modelling Shoplifting

The other day I was thinking that I should write about specific situation models and by coincident Marc Adler pens CEP and Shoplifting.  In Marc’s post, Marc begins to model shoplifting as if shoplifting is “market data,” with Level 1 to Level 4 shoplifting “quotes” - the natural approach for a brilliant guy from Citi.   In [...]

The Secret Sauce is the Situation Models

Alan Lundberg wrote, Intelligent Business Process Platform? in response to Bringing Order to Chaos where someone from PWC linked event processing to business intelligence and business process management.  In turn, James Taylor penned Using decision management to deliver intelligent business performance where James rightly said that it does not require “heroic efforts” to integrate event processing, BI, BPM and [...]

On CEP as a Discipline

In  CEP as a Discipline,  David Luckham wrote: 
“Actually, it is fair to say that some of CEP can be found in other disciplines. Event processing has been going on in one form or another, for the past 50 years. Simulation, Networking, Active DBs, Middleware.
{ …. }
CEP has only just begun. The foundations are unexplored. Its [...]

A Brief Introduction to Blackboard Architectures

A blackboard architecture is a distributed computing architecture where distributed applications, modelled as intelligent agents, share a common data structure called the “blackboard” and a scheduling/control process. The blackboard can be either centeralized or distributed, depending on the requirements and constraints of the application(s).
To solve a complex problem in the blackboard-style, the intelligent [...]

A Blast from the Past: CEP at Stanford,1998-2003

Courtesy of Complex Event Processing at Stanford
Complex event processing (CEP) is a new technology. It can be applied to extracting and analyzing information from any kind of distributed message-based system. It is developed from the Rapide concepts of (1) causal event modeling, (2) event patterns and pattern matching, and (3) event pattern maps and constraints. [...]

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