Re: [p2pi] Real life torrent statistics

Marshall Eubanks <tme@multicasttech.com> Tue, 19 August 2008 04:36 UTC

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From: Marshall Eubanks <tme@multicasttech.com>
To: Stas Khirman <stas@khirman.com>
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Subject: Re: [p2pi] Real life torrent statistics
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On Aug 18, 2008, at 4:07 AM, Stas Khirman wrote:

> To estimate a feasibility of ALTO/P4P for real life torrents , I  
> collected <ip,port> information for peers from one of the most  
> popular “PirateBay” torrents ( almost 20k peers) and maped their IPs  
> to corresponded ASs. Please find attached my working notes with some  
> interesting statistics.
>
> In short – for such kind of swarm (20k peers), almost half of peers  
> belong to ASs with 100 or more peers, almost 2/3 of peers belong to  
> ASs with 50 or more peers. Less then 15% of peers belong to ASs with  
> 10 or less “neighbors”.
>

A pdf version of this is at

http://www.americafree.tv/papers/torrent_distribution.pdf

(Note, by the way, that some people block attachments sent through  
IETF mail lists.)

These data seem to follow a power law for part of their range and I  
would hypothesize that the
number of peers versus rank follows a Mandelbrot - Pareto distribution.

Here is a plot of the top 20 with a power law superimposed:

http://www.americafree.tv/papers/torrent.top_20.png

Regards
Marshall


>
> US broadband ISPs (Road Runner, Comcast, AT&T) have about 2-3% of  
> total peers each.
>
> Also, I find it surprising geo distribution of the peers – majority  
> were in UK , not in US (probably because content is available in US  
> theaters).  Places 3-5 taken by Sweden,Poland and Canada (in total –  
> more peers then in US).
>
> Certainly, observed “heavy” neighboring of peers is a function of  
> swarm size. I intend to investigate a few medium/small size swarms  
> to have a multi-point picture for any future discussions.
>
> I would appreciate comments, corrections and additional ideas on  
> data collection and analysis.
> <torrent_distribution.doc>
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