Disadvantages of Rule-Based Systems (Part 1)

In Orwellian Event Processing the discussion moved away from my original intent, which was primarily to discuss the vendor-state-of-denial regarding the prior art for processing complex events, and gravitated toward a discussion on the “inefficiencies” of rule-based systems.  I was surprised learn that there are professionals who believe that there is no basis in fact [...]

The Power of Events Revisited (Part 1)

When I first read The Power of Events: An Introduction to Complex Event Processing in Distributed Enterprise Systems by David Luckham I took away three high level ideas:

Events are important in business.
Events can be processed in a hierarchical way.
Rapide is a modeling tool developed at Stanford that can be used to model complex systems.

These three [...]

Orwellian Event Processing

Recently we completed the installation and training of an open source Bayesian classifier to replace a rule-based approach to manage forum spam.  In a nutshell, we found the rule-based approach was highly prone to both false positives and false negatives; however, a statistical approach using a Bayesian approach has turned out to be far superior. [...]

U.S. Cyber Command - Air Force Stumbles

Great and powerful organizations can be handicapped by their own greatness.   The shear magnificence, power and strength of the USAF also can be it’s own weakness at times.  This is certainly true in the area of communications, air power and cyberspace.
The communications mission of the Air Force is highly interconnected with it’s core mission [...]

Processing Complex Events at the Large Hadron Collider (LHC)

Here is an excellent Google TechTalk by Dr. Majorie Shapiro (LBL & LHC ATLAS), June 18, 2007, on processing complex events at the LHC called, Supersymmetry, Extra Dimensions and the Origin of Mass: Exploring the Nature of the Universe Using PetaScale Data Analysis.
This is really what I would call “real-time CEP.”  Bean collisions at the [...]

Mahout on Elastic MapReduce: Running k-means Clustering

Following up on KMeans Clustering Now Running on Elastic MapReduce, Stephen Green has generously documented the steps that was necessary to get an example of k-Means clustering up and running on Amazon’s Elastic MapReduce (EMR) on the Apache Lucene Mahout wiki.

Mahout on Elastic MapReduce by Stephen Green
As a side note, there has been considerable [...]

CloudFront LogAnalyzer on Amazon Elastic MapReduce

The Amazon Elastic MapReduce team has a sample application, CloudFront LogAnalyzer, designed to analyze Amazon CloudFront access logs. This tool provided users with the power of Amazon Elastic MapReduce to quickly turn access log data into actionable intelligence.
Access logs are activity records about all requests delivered through Amazon CloudFront and contains a valuable set [...]

A Review of Zabbix - Zabbix Rules! (Part 2)

In A Review of Zabbix - Zabbix Rules! (Part 1) we provided a brief introduction to Zabbix in the context of network and security management.  In this post I will discuss Zabbix as an event processing platform.
Zabbix is like most event processing platforms.  Zabbix provides both agent-initiated events as well as server-requested events.  [...]

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