- 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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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) 7 6.5 6
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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
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List of Tables 5.1 Pseudo-code spec