Abstract
BitTorrent users and consumer ISPs are often pictured as having opposite interests, with end-users aggressively trying to improve their download times, while ISPs throttle this traffic to reduce their costs. However, inefficiencies in both download time and quantity of long-distance traffic originate in BitTorrent randomly selecting peers to interact with. We show that biasing the link selection allows one to reduce both median download times by up to 32% and long-distance traffic by up to 16%. This optimization can be deployed by modifying only the BitTorrent trackers. No external infrastructure nor specialized client-side software deployment is necessary, thereby facilitating the adoption of our technique.
| Original language | English |
|---|---|
| Pages (from-to) | 561-573 |
| Journal | Lecture Notes in Computer Science |
| Volume | 5704 |
| DOIs | |
| Publication status | Published - 2009 |
| Event | Euro-Par 2009 - Berlin, Germany Duration: 1 Jan 2009 → 1 Jan 2009 |
Bibliographical note
Proceedings title: Proceedings of the Euro-Par ConferencePublisher: Springer
Place of publication: Berlin, Germany
ISBN: 3-642-03868-9
Editors: H. Sips, D. Epema, H.-X. Lin