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Th`ese de Doctorat de l'université Paris VI Pierre et Marie Curie Mlle ...

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Chapter 8<br />

Performance Upper Bound<br />

The I<strong>de</strong>al Bandwidth Allocation mo<strong>de</strong>l (IBA) allows to optimize the total n<strong>et</strong>work revenue<br />

and provi<strong>de</strong>s bounds to the performance achievable by any online dynamic bandwidth<br />

allocation algorithm. Such mo<strong>de</strong>l requires the knowledge of the future traffic offered to<br />

the n<strong>et</strong>work, the arrival time, the duration and the transmission rate of each connection<br />

offered to the n<strong>et</strong>work.<br />

We implemented and solved the IBA mo<strong>de</strong>l consi<strong>de</strong>ring the same n<strong>et</strong>work scenarios and<br />

simulation tools <strong>de</strong>scribed in the previous Chapter.<br />

This Chapter provi<strong>de</strong>s a discussion on the numerical results obtained with IBA. These<br />

results show that the proposed dynamic bandwidth allocation algorithms approach, in<br />

several scenarios, the i<strong>de</strong>al performance provi<strong>de</strong>d by IBA.<br />

8.1 Simulation results<br />

We first consi<strong>de</strong>red the single-bottleneck topology illustrated in Figure 8.1(a). All traffic<br />

sources and param<strong>et</strong>ers are the same as used in the previous Chapter for all n<strong>et</strong>work<br />

scenarios. Figures 8.1(b) and 8.1(c) show, respectively, the average total load accepted in<br />

the n<strong>et</strong>work and the corresponding total extra-revenue as a function of the load offered to<br />

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