Abstract
Peer-to-peer applications have become killer network applications. Understanding the nature of network traffic is critical in order to properly design and implement peer-to-peer network. Recently BitTorrent which is one of primary peer-to-peer applications has become one of most important information share tools on Internet. In this paper we examine the mechanisms that give rise to self-similar BitTorrent network traffic. We present an evidence for traffic self-similarity, and show that the self-similarity in such traffic can be explained based on the heavy-tailed distributions of BitTorrent transmission times and quiet times.
| Original language | English |
|---|---|
| Pages (from-to) | 839-843 |
| Number of pages | 5 |
| Journal | Lecture Notes in Computer Science |
| Volume | 3320 |
| DOIs | |
| State | Published - 2004 |
| Event | 5th International Conference, PDCAT 2004 - , Singapore Duration: 8 Dec 2004 → 10 Dec 2004 |
Fingerprint
Dive into the research topics of 'Explaining BitTorrent traffic self-similarity'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver