Notes on QoS information model for making adaptation decisions

Abstract: We present a network model that allows processi ng of QoS (quality of service) information about media flows to enable applications to make adaptation decisions. Our model is based around a multi-dimensional spatial representation t hat allows QoS information describing the flow constructions and QoS parameters – flow-s tates – to interact with a representation of the network QoS. The model produces report s about the compatibility between the flow-states and the network QoS, indicating w hich flow-states the network can currently support. The simple nature of the reports allow s the application to make decisions, dynamically, on which flow-state it should use. The model is relati vely lightweight and scaleable. We demonstrate the use of the model by simulation of a dynamically adaptive audio tool. Our work is ongoing.

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