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| Content Provider | ACM Digital Library |
|---|---|
| Author | Quan, Lin Heidemann, John |
| Abstract | Prior studies of Internet traffic have considered traffic at different resolutions and time scales: packets and flows for hours or days, aggregate packet statistics for days or weeks, and hourly trends for months. However, little is known about the long-term behavior of individual flows. In this paper, we study individual flows (as defined by the 5-tuple of protocol, source and destination IP address and port) over days and weeks. While the vast majority of flows are short, and most bytes are in short flows, we find that about 20% of the overall bytes are carried in flows that last longer than 10 minutes, and flows lasting 100 minutes or longer make up 2% of traffic. We show that long-lived flows are qualitatively different from short flows: they are generally slower, less bursty, and are due to different applications. We investigate the causes of short- and long-lived flows, and show that the traffic mix varies significantly depending on duration time scale, with computer-to-computer traffic more and more dominating in larger time scales. |
| Starting Page | 444 |
| Ending Page | 450 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781450304832 |
| DOI | 10.1145/1879141.1879198 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2010-11-01 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Computer-to-computer communication Long duration flow |
| Content Type | Text |
| Resource Type | Article |
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