Those numbers seem reasonable in that context. I first started using BitTorrent around that time as well, and it wasn't uncommon to see many users long-term seeding multiple hundreds of gigabytes of Linux ISOs alone.
Here’s another usage scenario with data usage numbers I found a while back.
> A 2004 paper published in ACM Transactions on Programming Languages and Systems shows how Hancock code can sift calling card records, long distance calls, IP addresses and internet traffic dumps, and even track the physical movements of mobile phone customers as their signal moves from cell site to cell site.
> With Hancock, "analysts could store sufficiently precise information to enable new applications previously thought to be infeasible," the program authors wrote. AT&T uses Hancock code to sift 9 GB of telephone traffic data a night, according to the paper.
That’s pretty cool. I remember someone on that repo from while back and was surprised to see their name pop up again. Thanks for archiving this!
Corinna Cortes et al wrote the paper(s) on Hancock and also the Communities of Interest paper referenced in the Wired article I linked to. She’s apparently a pretty big deal and went on to work at Google after her prestigious work at AT&T.
Hancock: A Language for Extracting Signatures from Data
Here’s another usage scenario with data usage numbers I found a while back.
> A 2004 paper published in ACM Transactions on Programming Languages and Systems shows how Hancock code can sift calling card records, long distance calls, IP addresses and internet traffic dumps, and even track the physical movements of mobile phone customers as their signal moves from cell site to cell site.
> With Hancock, "analysts could store sufficiently precise information to enable new applications previously thought to be infeasible," the program authors wrote. AT&T uses Hancock code to sift 9 GB of telephone traffic data a night, according to the paper.
https://web.archive.org/web/20200309221602/https://www.wired...