Log File Analysis
Steven Koolen created numerous scripts to parse crawling results on Tribler network.
Everything is stored on SuperStorage?3:/home/steven/permid_mrt-nov
Both Data, .gnuplot, and .py
1. get all raw crawl data files.
2. run tribler_log.py, this creates .ips files
3. run tribler_log_duplicate.py, which filters duplicate entries (might choose to also run tribler_log_filter_multipleinstance.py in order to filter back and forth switchers, thus using multipe computers)
4. run any of the tribler_log_*.py files to create graphs from the data
For example tribler_log_permids_day.py shows the number of users
tribler_log_runall.sh runs all files for step 4 and creates .eps graph files
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Attachments
- tribler_graph_day.png (15.5 KB) - added by jantet 3 years ago.
- tribler_graph_by_dayofweek.png (7.0 KB) - added by jantet 3 years ago.
- tribler_graph_by_hourofday (copy).png (13.8 KB) - added by jantet 3 years ago.
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tribler_graph_month.png
(9.1 KB) - added by jantet
3 years ago.
October 2006
![(please configure the [header_logo] section in trac.ini)](/images/TriblerLogo.png)