Abstract
Real-time video processing is till tode a formidable task thanks to the strict requirement on latency control and packet loss minimization. Burst processing has come to the rescue by offering buffer less operation and separation of control and data information. We report here for the first time a novel statistical embedded burst scheduling method suitable for processing class-differentiated video channels. The method is based on optimized Markov chains where the initial scheduled Markov transition probabilities are subsequently adaptively reconfigured by the scheduler to maintain the best system QoS.
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Bag, B., Jana, A.K., Pandit, M.K. (2011). A Novel Reconfigurable Video Burst Processor Offering High QoS. In: Das, V.V., Stephen, J., Chaba, Y. (eds) Computer Networks and Information Technologies. CNC 2011. Communications in Computer and Information Science, vol 142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19542-6_9
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DOI: https://doi.org/10.1007/978-3-642-19542-6_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19541-9
Online ISBN: 978-3-642-19542-6
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