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 presents a precise statement of the bandwidth allocation problem. Further,<br />
a utility-based <strong>de</strong>finition of the n<strong>et</strong>work extra-revenue is provi<strong>de</strong>d.<br />
Chapter 5 proposes a s<strong>et</strong> of heuristic bandwidth allocation algorithms tailored to our<br />
proposed service mo<strong>de</strong>l. These heuristics take into account online traffic statistics and<br />
users’ profiles to distribute efficiently extra-bandwidth to users who pay for it to transmit<br />
extra-traffic.<br />
Chapter 6 introduces a novel and flexible mathematical programming mo<strong>de</strong>l that pro-<br />
vi<strong>de</strong>s an optimal bandwidth allocation capable of accommodating the traffic offered to the<br />
n<strong>et</strong>work.<br />
Chapter 7 discusses simulation results that show the efficiency of our dynamic band-<br />
width allocation algorithms in providing resource allocation both in terms of total accepted<br />
load and n<strong>et</strong>work revenue compared to static provisioning.<br />
Chapter 8 presents numerical results showing that the proposed algorithms approach,<br />
in several n<strong>et</strong>work scenarios, the i<strong>de</strong>al performance provi<strong>de</strong>d by the mathematical mo<strong>de</strong>l.<br />
Finally, the conclusions and directions for future work are presented in Chapter 9.<br />
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