Hi Mark,
I'm Subramaniam from India. I'm trying to learn more about representing
user behavior model in the form of CSV files.
Suppose we have a web application having a home page, The home page has
a link to a sellers page and another link to buyers page.
State 1 : Home page
State 2 : Sellers page
State 3 : Buyers page
Under the context of this application, If we assume that a buyer would
never sell and a seller would never buy. Every buyer would certainly buy an
item and every seller would certainly sell an item.We can have the following
two behaviors
Sellers behavior
--------------------
Home Page Sellers Page Buyers Page $
Home Page 0 1 0 0
Sellers Page 0 0 0 1
Buyers Page 0 0 0 0
Buyers behavior
--------------------
Home Page Sellers Page Buyers Page $
Home Page 0 0 1 0
Sellers Page 0 0 0 0
Buyers Page 0 0 0 1
In a sample of 10 users , if we always have 6 buyers and 4 sellers, The
relative frequency for representing the behavior mix would be
Behavior mix
--------------
Seller 0.4
Buyer 0.6
My doubt
-------------
Is it necessary that the behavior matrix must certainly be an n X (n+1)
matrix.
In the above example, Seller row for a buyer and buyer row for a seller are
not necessary, can we eliminate these rows in the csv file.
Thanks,
Subramaniam.
Mark McWhinney wrote:
>
> It works great.
>
> Please keep us posted on further updates.
>
>
> -----Original Message-----
> From: Mark McWhinney [mailto:[email protected]]
> Sent: Tuesday, June 05, 2007 4:48 PM
> To: 'JMeter Users List'
> Subject: RE: Markov4JMeter: JMeter extension for probabilistic user
> behavior
> (Markov chains)
>
> Hello André,
>
> That is very timely. I was just about to post a message about how to set
> up
> a Markov style load model in JMeter using the various types of controllers
> and branching logic.
>
> I will spend tomorrow setting up and using your controllers.
>
> Mark
>
>
> -----Original Message-----
> From: Andre van Hoorn [mailto:[email protected]]
> Sent: Tuesday, June 05, 2007 7:18 AM
> To: [email protected]
> Subject: Markov4JMeter: JMeter extension for probabilistic user behavior
> (Markov chains)
>
> -----BEGIN PGP SIGNED MESSAGE-----
> Hash: SHA1
>
> Hi,
>
>
> in order to generate workload based on probabilistic user behavior
> models (Markov chains) with a varying number of simulated users, I
> developed an extension for JMeter named Markov4JMeter.
>
> It adds two new logic controllers ("Markov Session Controller", "Markov
> State") representing a session model for an application and its states.
> Transitions between states can then be assigned guards (conditions) and
> actions (e.g. variable assignments) known from state machines. The
> transition probabilities are specified within external behavior model
> files (CSV files containing the transition matrix; templates can be
> generated conveniently). A mix of behavior models with associated
> relative frequencies of their occurence during a test execution can be
> specified.
>
> Moreover, the number of threads can be varied based on mathematical
> formulae e.g. specified using a BeanShell script.
>
> I implemented Markov4JMeter as a JMeter component (Jar file) which is
> installed by simply adding it to JMeter's lib/ext folder (it requires at
> least JRE 1.5). It is licensed under the Apache 2.0 license.
>
> The release (binary and source) including a tutorial (for getting a
> first idea) can be downloaded from http://markov4jmeter.sourceforge.net/
>
> I would be glad if this extension is helpful to someone else. Feedback
> is greatly appreciated!
>
> Best regards,
>
> André
>
> - --
> André van Hoorn
> Birkenweg 21
> D-26725 Emden
>
> Telefon: +49 (4921) 954231
> E-Mail: [email protected]
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