(2001) Bernal, I.; Aracil Rico, Javier; Morató Osés, Daniel; Izal Azcárate, Mikel; Magaña Lizarrondo, Eduardo; Díez Marca, L. A.; Automática y Computación; Automatika eta Konputazioa
In this paper we focus on traffic prediction as a means to achieve dynamic bandwidth allocation in a generic Internet link. Our findings show that coarse prediction (bytes per interval) proves advantageous to perform dynamic link dimensioning, even if we consider a part of the top traffic producers in the traffic predictor.
(IEEE, 2001) Morató Osés, Daniel; Aracil Rico, Javier; Díez Marca, L. A.; Izal Azcárate, Mikel; Magaña Lizarrondo, Eduardo; Automática y Computación; Automatika eta Konputazioa
In this paper, we show that prediction algorithms in the least
mean square error sense prove better in a burst rather than in a packet
switching network. For the latter, further information about the packet
arrival distribution within the prediction interval is required. Regarding
burst switching, we compare Optical Burst Switching networks with and
without linear prediction to conclude that linear prediction provides a significant
improvement in end-to-end latency with low bandwidth waste.