In this paper we consider the transmission of stored video from a server to a client for medical applications such as,\nTele-monitoring, to optimize medical quality of service (m-QoS) and to examine how the client buffer space can be\nused efficiently and effectively towards reducing the rate variability of the compressed variable bit rate (VBR) video.\nThree basic results are presented. First, we show how to obtain the greatest possible reduction in rate variability when\nsending stored video to client with a given buffer size. Second, how to reduce high peak data rate of compressed VBR\nvideo when a patient is moving/walking very fast in hospital. Third, we evaluate the impact of optimal smoothing algorithm\non the network parameters such as, peak-to-mean ratio, standard deviation, delay, jitter, average delay and average\njitter to optimize the m-QoS. To resolve these all problems we used optimal smoothing algorithm and show its performance\nover a set of long MPEG-4 encoded video traces. Simulation results show that m-QoS is optimized by minimizing\nnetwork metrics.
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