Thank you Dimitry<div><br></div><div>well I dont think that I'll go for making my own distribution, rather I use the existing ones. But I need a little documentation about existing ones, like zipf(64) , I have no idea how large it is? the only thing I found says : "<span style="font-family:Times;text-align:-webkit-left;background-color:rgb(255,255,255);font-size:medium">Zipf(1): </span><em style="font-family:Times;text-align:-webkit-left;background-color:rgb(255,255,255);font-size:medium">zipf(world_size)</em>" . its alittle bit unclear for me, is there any documentation for that?<br>
<br><div class="gmail_quote">On 11 May 2012 18:39, Dmitry Kurochkin <span dir="ltr"><<a href="mailto:dmitry.kurochkin@measurement-factory.com" target="_blank">dmitry.kurochkin@measurement-factory.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi Shahab.<br>
<div><div class="h5"><br>
shahab bakhtiyari <<a href="mailto:shahab371@gmail.com">shahab371@gmail.com</a>> writes:<br>
<br>
> Hi guys<br>
><br>
> Yet another question for me(thank you very very much for previous<br>
> responses),<br>
><br>
> I am wondering if the objects' size used in webaxe-1(or generally in all )<br>
> workload(s) are realistic? or how much they are close to true size?<br>
><br>
> I mean , using exp(4.5kb) with mean4.5kb and max 53kb for image<br>
> objects sounds too little, is'nt that?<br>
> or 300kb for downloads? am I totally wrong?<br>
><br>
<br>
</div></div>You may be right. I do not think these sizes match average object or<br>
image on the Internet. But usually what you are interested in is<br>
simulating *your* traffic properties.<br>
<br>
The numbers in the provided workloads should be a good starting point.<br>
But for best results you should create distributions that match your<br>
needs. See [1] for details on user-defined distributions. Creating<br>
proper distributions for your tests may be difficult. You will need<br>
some existing data for it (e.g. Squid access logs). Then you analyze it<br>
with some auxiliary tools to get percentages for distributions (for<br>
Squid access logs you might use access2pgl tool from<br>
src/tools/access2poly/).<br>
<br>
Regards,<br>
Dmitry<br>
<br>
[1] <a href="http://www.web-polygraph.org/docs/reference/tabdistr.html" target="_blank">http://www.web-polygraph.org/docs/reference/tabdistr.html</a><br>
<br>
> thank you<br>
> --Shahab<br>
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</blockquote></div><br></div>