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| Content Provider | ACM Digital Library |
|---|---|
| Author | Baccelli, François McDonald, David R. |
| Abstract | The general aim of this paper is to analyze the throughput of a HTTP flow. For this, we introduce a simplified model of such a flow which consists of a succession of idle and download periods. The file downloads are subject to a fixed packet loss probability. The same TCP connection is possibly used for the download of a random number of files, for which the effect of the slow start is taken into account. For this stochastic model, we derive a closed form formula for the stationary throughput obtained by a flow. We also derive closed form expressions for the mean time to transfer a file and for the distribution of the throughput. Several laws of file sizes and idle times are considered including heavy tailed distributions. We also briefly discuss how the formulas can be applied to predict bandwidth sharing among competing HTTP flows. |
| File Format | |
| ISBN | 1595935045 |
| DOI | 10.1145/1190095.1190169 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2006-10-11 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Markov process Tcp Congestion control protocol On-off flow Throughput Http Additive increase-multiplicative decrease algorithm Ordinary differential equation Ip traffic |
| Content Type | Text |
| Resource Type | Article |
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