QoS Proxy Architecture for Real Time RPC with Traffic Prediction

Currently, there are many research works focused at the creation of architectures that support QoS for real time multimedia applications guarantees. However, those architectures do not support the traffic of RT-RPCs whose requirements (i.e. priority and deadline) are harder than those of multimedia applications. The aim of this work is to propose an architecture of QoS proxy for RT-RPCs that uses Box-Jenkins time series models in order to predict future traffic characteristics of RT-RPCs that pass through the proxy, allowing the anticipated allocation of the necessary resources to attend the predicted demand and the choice of policies aimed at the adaptation of the proxy to the states of its network environment.