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

the network. It can be observed that the best performance is achieved by the IBA model
both in terms of total accepted load and network revenue. The average increase in the total
accepted load and network extra-revenue, expressed as a percentage of those obtained with
OBA, are of 17% and 31%, respectively. We can also observe that SDBA, IDBA, OBA
and IBA exhibit the same decreasing trend. The performance of OBA well approaches the
upper bounds provided by IBA for all values of the offered traffic.
We then considered the simple core network topology presented in Figure 8.2(a). Also
in this scenario, IBA performs better than SDBA, IDBA and OBA, as shown in Figures
8.2(b) and 8.2(c). Numerical results show that IBA achieves in average 24% (respectively,
34%) higher total accepted load (respectively, network extra-revenue) than OBA. In this
scenario, the performance of OBA approaches that of IBA; in particular, when the network
is overloaded, the OBA performance overlaps that of IBA both in terms of total accepted
load and network revenue.
A more generic scenario is presented in Figure 8.3(a). In Figures 8.3(b) and 8.3(c), we
compare the performance of our proposed algorithms with the mathematical model as a
function of the total load offered to the network. It can be observed that IBA provides an
increase of 24% in terms of total accepted load and 32% in terms of network extra-revenue,
compared to OBA.
Finally, we considered the network topology illustrated in Figure 8.4(a). We observe
that IBA achieves higher total accepted load and network extra-revenue than OBA, as
shown in Figures 8.4(b) and 8.4(c). Numerical results show that, the average increase in
the total accepted load and network extra-revenue of IBA, with respect to those achieved
by OBA, are of 27% and 44%, respectively.
OBA.
Table 8.1 summarizes the average performance gain achieved by IBA with respect to
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