Davide Cherubini - PhD Thesis - UniCA Eprints

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5.2 Traffic monitoring• Hard Disks: 4 disks in RAID-0 configuration with capacity of 40 GByte• Operating System: Linux Slackware 10.0• Web Server: Apache HTTP Server Version 2.0• NetFlow software: Flow-Tools, FlowScan, and ICEFlowDuring the tests, the routers run NetFlow Version 5 with a sample rate of1 packet over 10 and traffic generated by different size of ICMP (e.g., the pingcommand), TCP, and UDP flows have been tested. The collector has receivedthe data sample and the ICEFlow analyzer has correctly interpreted the differenttypes of traffic. A screenshot of the graphical view taken during the test phaseis shown in Figure 5.6.Figure 5.6: ICEFlow screenshot of the traffic flowing in test network37
5.2 Traffic monitoring5.2.4 Monitoring the Italian BackboneThe successful tests of ICEFlow in monitoring the benchmark network, pushedus to gradually integrate the tool in the real backbone network.In several backbone core routers (Cisco GSR 12000), NetFlow version 5 exporthas been activated with a sampling rate of 1 packet over 10000, and the data havebeen exported to the Workstation used in the benchmark phase, with a time rateof 30 seconds.Files containing the traffic data of 5 minutes have been stored and, using theRound Robin Database and the configuration of ICEFlow, the valuable informationhave been encased in predefined folders.In the following a series of screenshots taken from the ICEFlow visualizationtool will be shown. Figure 5.7 shows the main page of the ICEFlow tool, whereit is possible to select between statistics expressed in amount of traffic (Mbps) oras percentages.Figure 5.7: ICEFlow index pageIt is also present the possibility to recall old statistics and to analyze the trafficwith a different tool (CarrierIN), in order to validate the correct meaning of the38
Page 4 and 5: AcknowledgementsThis dissertation w
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: 5.2 Traffic monitoring5.2.3 The net
Page 51 and 52: 5.2 Traffic monitoringFigure 5.9: S
Page 53 and 54: Chapter 6LP Optimization ModelsThis
Page 55 and 56: 6.2 Graphs and Network Flowswith a
Page 57 and 58: 6.2 Graphs and Network FlowsWhere B
Page 59 and 60: 6.2 Graphs and Network Flows6.2.3 T
Page 61 and 62: 6.3 Multicommodity Flow Problemscom
Page 63 and 64: 6.4 LP modelsThe second layer intro
Page 65 and 66: 6.4 LP modelsEquation 6.32 is the o
Page 67 and 68: 6.4 LP modelsmalized as follows:z =
Page 69 and 70: 6.4 LP models(a) Rerouting flow p
Page 71 and 72: 6.4 LP models(a) 1 st solution(b) 2
Page 73 and 74: 6.4 LP models∑f∈Fx f,lij⎛⎝i
Page 75 and 76: 6.4 LP modelsterm is the MPLS part
Page 77 and 78: 7.2 The highly meshed network7.2 Th
Page 79 and 80: 7.3 The IBCN European network7.3 Th
Page 81 and 82: 7.3 The IBCN European networkmaximu
Page 83 and 84: 7.3 The IBCN European networkSurviv
Page 85 and 86: 7.3 The IBCN European networkFigure
Page 87 and 88: 7.4 The Real ISP’s Italian Backbo
Page 93 and 94: 7.5 Conclusion and validation of re
Page 95 and 96: optimal configuration of network pa
Page 97 and 98: REFERENCES[14] Jones Lustig Format
Page 99 and 100:
REFERENCES[40] A. V. Fiacco and G.
Page 101:
REFERENCES[61] A. Nucci, B. Schroed
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Davide Cherubini - PhD Thesis - UniCA Eprints

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