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generate RSS feed of BitTorrent magnet links for entries in the Archive #166

Open jywarren opened 12 years ago

jywarren commented 12 years ago

then use something like Miro... wikipedia:

Specifically, Juice and Miro (formerly known as Democracy Player) support automatic processing of .torrent files from RSS feeds. Similarly, some BitTorrent clients, such as µTorrent, are able to process web feeds and automatically download content found within them.

so we set up µTorrent and subscribe it...

mathewlippincott commented 12 years ago

Is this to save on bandwidth costs through torrent distribution?

jywarren commented 12 years ago

this is just a note on how we might implement some of the ideas in the Data KNC -- for distributed backup.

For example, if people wanted to upload a large dataset to the "grassroots cloud" they could just open it in BitTorrent, make a magnet link, and enter it in a form on PublicLaboratory.org, and everyone else in the peering network would "see" it automatically via a special RSS feed and start bittorrenting it, including our main server.

we could of course make a website to upload to directly too... or a tiny simple wrapper around uTorrent people can download to start seeding their data. We'd have to test this out a bit.

On Thu, Jun 21, 2012 at 2:17 PM, mathew lippincott < reply@reply.github.com

wrote:

Is this to save on bandwidth costs through torrent distribution?

Reply to this email directly or view it on GitHub: https://github.com/jywarren/plots/issues/166#issuecomment-6490295

rjcorwin commented 12 years ago

w00t! +1 for torrent exploration.

jywarren commented 12 years ago

they could be tagged, and you could subscribe to certain regional tags only, like gulf-coast, to backup only local archives.

i believe apps like Miro will delete old files. uTorrent probably not - but it begs the question of what to do when you run out of disk space on a peer node.

On Thu, Jun 21, 2012 at 9:18 PM, R.J. Steinert < reply@reply.github.com

wrote:

w00t! +1 for torrent exploration.

Reply to this email directly or view it on GitHub: https://github.com/jywarren/plots/issues/166#issuecomment-6498653