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Classes are characterized by traffic volumes, which can be potentially very different, and can be treated better or worse inside the communication system according to their needs and to the available resources. This means that classes may suffer better or worse loss levels inside the network and their packets may experience larger or smaller transit delays. The model’s capacity to differentiate traffic is achieved by controlling the transit delay and losses suffered by packets belonging to different classes, through the dynamic distribution of processing and memory resources.

When performance degradation is likely to happen), they receive a better or worse treatment according to the traffic class they have chosen. This 15 DSLOPE (Degradation Slope) 30 G. Karlsson et al. reflects the sensitivity to degradation preconfigured for each class, namely, the traffic sensitivity to delay degradation and the traffic sensitivity to the degradation of the level of packet losses. The work presented here has strategically focused on the network elements. This was achieved through the conception of a Per Hop Behavior (PHB) capable of supporting the referred to model (the D3 PHB – Dynamic Degradation Distribution), and by the construction of the respective prototype.

As a result of network elements behavior, traffic with higher sensitivity to degradation is protected at the expense of less sensitive traffic. Thus, the idea is to dynamically and asymmetrically redistribute the degradation among the different classes, protecting some classes at the expense of others – hence the name D3, which stands for Dynamic Degradation Distribution. The strategy for this effect is built on measuring continuously the quality of service given to each traffic class and, according to the obtained measures, adjusting the mechanisms responsible for packet processing dynamically.

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Cost estimation for software development by Bernard Londeix

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