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Category: Event Processing Modelling

KMeans Clustering Now Running on Elastic MapReduce

Posted on 04/19/09 1 Comment

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 […]

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

Posted on 03/23/09 2 Comments

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.  In […]

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Predicting Events with Logistic Regression

Posted on 01/27/09 19 Comments

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, […]

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Quintessential Event Processing: Signature Versus Anomaly Detection

Posted on 11/28/08 No Comments

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 when you […]

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CEP, Event Noise and Asymmetric Event Processing

Posted on 10/02/08 No Comments

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 […]

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TIBCO BusinessEvents 3.0

Posted on 09/24/08 11 Comments

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 […]

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Modelling Shoplifting

Posted on 09/07/08 11 Comments

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 […]

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Streaming SQL Approaches Insist in Ignoring Causality by PatternStorm

Posted on 09/05/08 1 Comment

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 […]

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CEP and Analytics

Posted on 08/19/08 No Comments

Peter Lin comments in A Complex Event = Sum (Events) + Situational Knowledge, continuing the discussion by asking “What is the definition of analytics? Is it purely a calculation, or something else?” A good place to being to look for clues to an answer is Wikipedia, where the opinion of the author there is,  “A simple and practical definition, […]

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A Complex Event = Sum (Events) + Situational Knowledge

Posted on 08/16/08 14 Comments

Sometimes we read some opinions about CEP where folks opine that “complex event processing” is really about processing “complex events” and not about “complex” “event processing”.   The truth be told, processing “complex events” requires “complex” “event processing” so there is really no difference between the two ways of expressing CEP. You can not process complex events in […]

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