NEW MBAC ALGORITHM FOR VIDEO STREAMING BASED ON AUTOREGRESSIVE ADAPTIVE FILTERING (WedAmPO1)
Author(s) :
Pietro Camarda (DEE - Politecnico di Bari, Italy)
Cataldo Guaragnella (DEE - Politecnico di Bari, Italy)
Domenico Striccoli (DEE - Politecnico di Bari, Italy)
Abstract : A novel strategy of Measurement Based Admission Control (MBAC) for video distribution system has been developed, aiming at obtaining the needed Quality of Service (QoS), expressed in terms of probability for the video aggregation to exceed the channel capacity. Such an algorithm is based on an AutoRegressive (AR) adaptive filter taking into account slow and quick time bit rate variations of video stream aggregation. A simple admission control strategy is presented, able to shift from the server to the client the decision about the admission of a new video stream. Simulation results, based on real MPEG encoded videos justify the application.

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