Davide Cherubini - PhD Thesis - UniCA Eprints

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AcknowledgementsThis dissertation would not be possible without the guidance, encouragementand support from my supervisor Prof. Alessandra Fanni.The extensive discussion with her have helped me stay on the righttrack toward finishing this work.I would also like to thank Prof. Antonio Frangioni for his ideas offinding the linear structure of the problems at hand. Thanks also forjoining me in Paris last year!A special thank goes to Giorgio Lembo, who carried me in the amazingreal world of Internet technologies, for his invaluable time and forhis friendship.To Prof. Paola Zuddas who convinced me that a good method tosolve a problem should also be a simple one, and for her care and lovewhich I will never forget.I would also like to thank Prof. Abdel Lisser and the whole staff ofthe Laboratoire de Recherche en Informatique of the Université ParisSud who hosted me in Orsay last year.To Francesco Pau and Ruben Cardella who helped me to setup andtest ICELab in the Tiscali’s headquarter.To Prof. Maria Grazia Scutellà for her support in indicating interestingpapers and for her time during my short visits in Pisa.To Dr. Cristina Perra who introduced me to the telecommunicationnetwork optimization problem.To my colleague (brother-in-“study”) Cristian who shared with methis challenge!!I have been also very lucky to work with an incredible group of studentsand researchers that I am honored to call my friends, including
Augusto, Barbara, Pietro, Mariangela, Francesca, Giuliana, Giuditta,Katiuscia, Manuela, Rita, Sara, Cristiana, and Daria.Finally, my dissertation research has been financially granted by Tiscaliand I would like to thank Mr. Paolo Susnik who believed in thesignificance of my work.
Page 6 and 7: AbstractThis dissertation investiga
Page 9 and 10: CONTENTS7.4 The Real ISP’s Italia
Page 11 and 12: LIST OF FIGURES7.3 Default metrics
Page 13 and 14: 1.2 Objectives of the dissertation2
Page 15 and 16: Chapter 2Basic knowledgeThis chapte
Page 17 and 18: 2.1 Understanding IS-IS• A = sour
Page 19 and 20: 2.2 Understanding MPLS Technology2.
Page 21 and 22: 2.2 Understanding MPLS TechnologyTh
Page 23 and 24: 2.4 Restoration SchemesHowever, fai
Page 26 and 27: 3.1 Optimization of IS-IS/OSPF rout
Page 28: 3.3 Survivability problemhas been d
Page 31 and 32: 4.1 Heuristic Algorithmsmeta-heuris
Page 33 and 34: 4.1 Heuristic Algorithmsto keep a c
Page 35 and 36: 4.1 Heuristic Algorithmsprobability
Page 37 and 38: 4.3 Linear Programming ApproachExam
Page 39 and 40: 5.2 Traffic monitoring• 60% of th
Page 41 and 42: 5.2 Traffic monitoringExporting the
Page 43 and 44: 5.2 Traffic monitoringare included
Page 45 and 46: 5.2 Traffic monitoringthe Internet.
Page 47 and 48: 5.2 Traffic monitoring5.2.3 The net
Page 49 and 50: 5.2 Traffic monitoring5.2.4 Monitor
Page 51 and 52: 5.2 Traffic monitoringFigure 5.9: S
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Chapter 6LP Optimization ModelsThis
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6.2 Graphs and Network Flowswith a
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6.2 Graphs and Network FlowsWhere B
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6.2 Graphs and Network Flows6.2.3 T
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6.3 Multicommodity Flow Problemscom
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6.4 LP modelsThe second layer intro
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6.4 LP modelsEquation 6.32 is the o
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6.4 LP modelsmalized as follows:z =
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6.4 LP models(a) Rerouting flow p
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6.4 LP models(a) 1 st solution(b) 2
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6.4 LP models∑f∈Fx f,lij⎛⎝i
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6.4 LP modelsterm is the MPLS part
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7.2 The highly meshed network7.2 Th
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7.3 The IBCN European network7.3 Th
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7.3 The IBCN European networkmaximu
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7.3 The IBCN European networkSurviv
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7.3 The IBCN European networkFigure
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7.4 The Real ISP’s Italian Backbo
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7.5 Conclusion and validation of re
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optimal configuration of network pa
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REFERENCES[14] Jones Lustig Format
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REFERENCES[40] A. V. Fiacco and G.
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REFERENCES[61] A. Nucci, B. Schroed
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Davide Cherubini - PhD Thesis - UniCA Eprints

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