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

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Doctor of Science Thesis Pierre and Marie Curie University (Paris VI) Specialization COMPUTER SCIENCE presented by Ms. Jocelyne ELIAS Submitted in partial satisfaction of the requirements for the degree of DOCTOR OF SCIENCE of the Pierre and Marie Curie University Dynamic Resource Provisioning in Quality of Service Networks Committee in charge: Dominique GAITI Advisor Prof. at Troyes University Guy PUJOLLE Advisor Prof. at Pierre and Marie Curie University Tijani CHAHED Reviewer Prof. at INT Walid DABBOUS Reviewer Research Director at INRIA, Sophia-Antipolis Luigi FRATTA Examinator Prof. at Politecnico di Milano Fabio MARTIGNON Examinator Prof. at University of Bergamo Samir TOHME Examinator Prof. at UVSQ University
To my family.
Page 1: Thèse de Doctorat de l’universit
Page 5 and 6: Abstract Efficient dynamic resource
Page 7: Acknowledgements I would like to th
Page 10 and 11: 4.2 Connections Classification . .
Page 13 and 14: Résumé delaThèse 1. La probléma
Page 15 and 16: supérieure sur les performances qu
Page 17 and 18: compte les fonctions d’utilité d
Page 19 and 20: (Policy Decision Point), d’un ens
Page 21 and 22: ligne pour individualiser la bande
Page 23 and 24: 6. Nous proposons trois algorithmes
Page 25 and 26: appelons débit de crête. Six sour
Page 27 and 28: 6. Conclusion générale et Perspec
Page 29 and 30: Chapter 1 Introduction The Internet
Page 31 and 32: upper bounds to the performance ach
Page 33 and 34: Chapter 2 Dynamic Bandwidth Allocat
Page 35 and 36: Utility Function Types In a multi-a
Page 37 and 38: comes smaller than the application
Page 39 and 40: of which there exist extensive theo
Page 41 and 42: allows us to allocate the bandwidth
Page 43: Shenker in [10] states that the net
Page 46 and 47: implements such service model by pe
Page 48 and 49: considering different constraints l
Page 50 and 51: 4.1 Problem Statement Let us model
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y all network users. Using the nota
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in the following Section. The struc
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Optimum Bandwidth Allocation Algori
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Table 5.1: Pseudo-code specificatio
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of all greedy connections that are
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Chapter 6 Mathematical Model This C
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1 2 3 4 0000000000 1111111111 00000
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Chapter 7 Numerical Results The mai
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the two core nodes is equal to 6 Mb
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Total Accepted Load (Mb/s) 6 5.5 5
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plottedinFigure7.9. Figures 7.10 an
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Total Accepted Load (Mb/s) 6 5 4 3
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S 2 S 3 S 4 1 S 6 S1 S5 2 3 4 5 D 1
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high network loads, where it achiev
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proposed allocation algorithms in a
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Table 7.3: Peak rate, subscribed ra
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Chapter 8 Performance Upper Bound T
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Table 8.1: Average performance gain
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Total Accepted Load (Mb/s) 6 5 4 3
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Chapter 9 Conclusion 9.1 Discussion
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established by creating a session i
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[7] F. P. Kelly, “Charging and ra
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[26] P. Reichl, S. Leinen, and B. S
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Appendix A Algorithm Implementation
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these latters are implemented using
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• boolean State: the connection s
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(CSTtable) is updated by the ingres
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Table A.2: Java code for updating t
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List of Acronyms ACA Autonomous Com
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List of Figures 1 Notre architectur
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8.1 Performance upper bound for all
Page 121:
List of Tables 5.1 Pseudo-code spec
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