← SBrT2012
Avaliação de diferentes métodos de inferência da demanda por banda do algoritmo de DBA no desempenho de redes XG-PON
XG-PONDBAtraffic predictionneural network
Resumo
This article presents a DBA algorithm and the
comparison among four methods of determining one of its inputs,
the bandwidth demand. For the performance evaluation, we used
a XG-PON implemented in the OMNet++ simulation framework.
The four methods are: conventional Status Report (SR) and
Traffic Monitoring (TM), and TM-based prediction using a
simple linear regression and a time-delay neural network. All
evaluated methods have shown adequate QoS for triple-play
services.