KMeans Clustering Now Running on Elastic MapReduce

Stephen Green, blogger and principal investigator of the AURA project in Sun Labs, has moved the state-of-the-art of analytics-as-a-service a few steps forward with the first documented working Mahout application on Amazon’s Elastic MapReduce (EMR).
EMR was announced on April 1st and on April 15th Stephen announced to the Mahout users group that he was going [...]

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.  [...]

Predicting Events with Logistic Regression

In earlier post, CEP by Apache Mahout via the Google MapReduce Framework and Apache Mahout: Real-Time Decisioning in the MapReduce Framework, we started to look at the Google MadReduce framework and the planned analytics of the Apache Mahout development team.  In this post, we will look at the first algorithm mentioned by the Mahout team, [...]

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 [...]

CEP, Event Noise and Asymmetric Event Processing

In The Genesis of Complex Event Processing: Asymmetric Capabilities I introduced the abstract concept of “asymmetric processing capabilities” to describe the foundations of complex event processing.   If you take a few moments to review the first CEP projects from Stanford University, you will see that the application of CEP was toward  solving myriad asymmetric event [...]

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 [...]

Streaming SQL Approaches Insist in Ignoring Causality by PatternStorm

The following excellent discussion is reposted from Streaming SQL approaches insist in ignoring causality by PatternStorm.
The recent paper “Towards a Streaming SQL Standard” by Oracle and Streambase unifies and generalizes two different execution models of Streaming SQL: Oracle’s and StreamBase’s.
While it’s true that the generalization succeeds in overcoming the unability of both execution models of producing [...]

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