A novel strategy of measurement based admission control (MBAC) for video distribution systems has been developed, aimed at obtaining the needed quality of service (QoS), expressed in terms of loss probability. The developed 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
A New MBAC Algorithm for Video Streaming based on AutoRegressive Adaptive Filtering / Camarda, Pietro; Guaragnella, Cataldo; Striccoli, Domenico. - (2005), pp. 1512-1515. (Intervento presentato al convegno IEEE International Conference on Multimedia and Expo, ICME 2005 tenutosi a Amsterdam, The Nederlands nel July 6-8, 2005) [10.1109/ICME.2005.1521720].
A New MBAC Algorithm for Video Streaming based on AutoRegressive Adaptive Filtering
CAMARDA, Pietro;GUARAGNELLA, Cataldo;STRICCOLI, Domenico
2005-01-01
Abstract
A novel strategy of measurement based admission control (MBAC) for video distribution systems has been developed, aimed at obtaining the needed quality of service (QoS), expressed in terms of loss probability. The developed 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 applicationI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
