Self-similarity in World Wide Web traffic: evidence and possible causes
Proceedings of the 1996 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Equation-based congestion control for unicast applications
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Statistical bandwidth sharing: a study of congestion at flow level
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
On performance bounds for the integration of elastic and adaptive streaming flows
Proceedings of the joint international conference on Measurement and modeling of computer systems
Performance of TCP-friendly streaming sessions in the presence of heavy-tailed elastic flows
Performance Evaluation - Long range dependence and heavy tail distributions
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We consider a fixed number of streaming sessions sharing a bottleneck link with a dynamic population of elastic flows. We assume that the sizes of the elastic flows exhibit heavy-tailed characteristics. The elastic flows are TCP-controlled, while the transmission rates of the streaming applications are governed by a so-called TCP-friendly rate control protocol. Adopting the Processor-Sharing (PS) discipline to model the bandwidth sharing, we investigate the tail distribution of the deficit in service received by the streaming sessions compared to a nominal service target. The latter metric provides an indication for the quality experienced by the streaming applications. The results yield valuable qualitative insight into the occurrence of persistent quality disruption for the streaming users. We also examine the delay performance of the elastic flows.