Th`ese de Doctorat de l'université Paris VI Pierre et Marie Curie Mlle ...
Th`ese de Doctorat de l'université Paris VI Pierre et Marie Curie Mlle ...
Th`ese de Doctorat de l'université Paris VI Pierre et Marie Curie Mlle ...
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Chapter 4<br />
N<strong>et</strong>work Mo<strong>de</strong>l<br />
Dynamic bandwidth allocation in Quality of Service (QoS) n<strong>et</strong>works is a challenging prob-<br />
lem that has recently been the focus of many researchers. Maximization of total n<strong>et</strong>work<br />
revenue and satisfaction of users’ QoS requirements are two important aspects to consi<strong>de</strong>r<br />
in resolving such problem.<br />
This Chapter makes the following contributions. First, we <strong>de</strong>scribe the n<strong>et</strong>work mo<strong>de</strong>l<br />
and we <strong>de</strong>fine the notation for the full comprehension of the problem. Then, we perform<br />
a connections’ classification taking into account the online traffic statistics collected by<br />
ingress routers. This classification is fundamental to our heuristic algorithms, in that it<br />
allows to exploit the unused bandwidth left over by idle and Non-greedy connections to<br />
achieve high n<strong>et</strong>work revenue. Finally, we provi<strong>de</strong> a <strong>de</strong>finition of the n<strong>et</strong>work extra-revenue<br />
that is expressed in terms of users’ bandwidth utility functions. This <strong>de</strong>finition constitutes<br />
one of the two performance m<strong>et</strong>rics used to evaluate the performance of our bandwidth<br />
allocation algorithms.<br />
This Chapter is organized as follows. Section 4.1 presents a precise statement of the<br />
bandwidth allocation problem. Section 4.2 performs a connections’ classification based on<br />
online measured traffic statistics. Finally, Section 4.3 introduces the n<strong>et</strong>work extra-revenue<br />
<strong>de</strong>finition.<br />
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