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Quality of Service Evaluations of Multicast Streaming Protocols by Haonan Tan; Derek L. Eager; Mary K. Vernon; Hongfei Guo is a Computer Science article available to read on EtoBox.

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Recently proposed scalable on-demand streaming protocols have previously been evaluated using a system cost measure termed the "required server bandwidth". For the scalable protocols that provide immediate service to each client when the server is not overloaded, this paper develops simple analytic models to evaluate two client-oriented quality of service metrics, namely (1) the mean client waiting time in systems where clients are willing to wait if a (well-provisioned) server is temporarily overloaded, and (2) the fraction of clients who balk (i.e., leave without receiving their requested media content) in systems where the clients will tolerate no or only very low service delays during a temporary overload. The models include novel approximate MVA techniques that appear to extend the range of applicability of customized AMVA to include questions focussed on state probabilities rather than on mean values, and to systems in which the operating points of interest do not include substantial client queues. For example, the new AMVA models accurately estimate the server bandwidth needed to achieve a balking rate as low as one in ten thousand. The analytic models can easily be applied

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Author

Haonan Tan; Derek L. Eager; Mary K. Vernon; Hongfei Guo

Publisher

ACM

Published

2002

Language

EN

Field

Computer Science (Physical Sciences)