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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

Attachments

  • tribler_graph_day.png (15.5 kB) - added by jantet on 07/06/07 16:37:36.
  • tribler_graph_by_dayofweek.png (7.0 kB) - added by jantet on 07/06/07 16:47:11.
  • tribler_graph_by_hourofday (copy).png (13.8 kB) - added by jantet on 07/06/07 16:49:56.
  • tribler_graph_month.png (9.1 kB) -October 2006, added by jantet on 07/06/07 16:51:47.

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