Scalable feedback control for multicast video distribution in the Internet
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
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SIGCOMM '95 Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
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Scalable feedback for large groups
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OSDI'00 Proceedings of the 4th conference on Symposium on Operating System Design & Implementation - Volume 4
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USITS'01 Proceedings of the 3rd conference on USENIX Symposium on Internet Technologies and Systems - Volume 3
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IEEE Network: The Magazine of Global Internetworking
Journal of Systems and Software
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INFOCOM'09 Proceedings of the 28th IEEE international conference on Computer Communications Workshops
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We propose two novel on-line estimation algorithms to determine the size of a dynamic multicast group. We first use a Wiener filter to derive an optimal estimator for the membership size of the session in case the join process is Poisson and the lifetime of participants is distributed exponentially. We next develop the best first-order linear filter from which we derive an estimator that holds for any lifetime distribution. We apply this approach to the case where the lifetime distribution is hyperexponential. Both estimators hold under any traffic regime. Applying both estimators on real traces corresponding to video sessions, we find that both schemes behave well, one of which performs slightly better than the other in some cases. We further provide guidelines on how to tune the parameters involved in both schemes in order to achieve high quality estimation while simultaneously avoiding feedback implosion.