ABSTRACT
The Adaptive congestion control framework (NNRC) congestion controller communicates the calculated sending rate to the application Quality of Service (QoS) controller, forming the available bandwidth constraint. This chapter examines time-sensitive congestion control framework NNRC that was designed to provide guarantees on latency is combined with an application adaptation scheme that first appeared in, and that is based on dynamic neural networks and adaptive control techniques, to propose an integrated solution to the underlying problem. The underlying methodology that provides increased QoS levels from an end user standpoint is application adaptation and as such it has received much attention from the research community. Mapping between user satisfaction and QoS parameters may be achieved by combining the satisfaction function and the set of constraints. The purpose of the application QoS controller is to determine the necessary values of the media parameters to achieve the user required satisfaction level, while preserving all network operational constraints that are available bandwidth, delay, jitter and cost.
