Create trackers, peers, and run your own bittorrent client on an Amazon EC2 instance.
You'll need your AWS credentials in environmental variables
AMAZON_ACCESS_KEY and AMAZON_SECRET_KEY
to run the fabric scripts.
If you don't have such a pair yet, you'll need to create one on the AWS Security Credentials page.
You also need to
pip install fabric boto
Remember to turn off your instances when you're done!
To Run:
Write a python module that provies three functions: install, torretfile, and download. See tom.py as an example, and add your to the resitory for more examples.
To debug your install script, try:
fab newInstance
fab install:yourModuleNameHere -H hostname_from_prev_command -i key filename_from_prev_command
You can poke around your instance with
ssh hostname_from_prev_command -i key filename_from_prev_command
To set up a scenario:
Download the file you want to test using wget. Then, run
fab installScenario1:tom,big_datafile_to_download
Then run it with
fab runScenario1:username,test.torrent -H hostname_from_prev_command -i pem_key_from_prev_command
Change the datafile without reinstalling:
fab seedFile:big_datafile,announce_url (printed at some point) -H seeding_server_hostname (printed at some point)
Download one of the test files (see results section), upload it, and add your times!
If setting up an Amazon account is a burden, let me know and we can write your script together on my account.
Tom's bittorrent client: https://github.com/thomasballinger/bittorrent
Small File (2MB, https://dl.dropboxusercontent.com/u/42074050/1999-12-31%2018.20.09.jpg)
- Tom: 4.8, 2.2, 2.4, 2.15, 2.18
Medium File (28 MB, http://www.gutenberg.org/cache/epub/29765/pg29765.txt)
- Tom: 14.8, 14.9, 15.7
Large File (200MB, http://05d2db1380b6504cc981-8cbed8cf7e3a131cd8f1c3e383d10041.r93.cf2.rackcdn.com/pycon-us-2010/276_the-mighty-dictionary-55.m4v)
- Tom: 529 seconds