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Traffic analysis and optimization of a mangement network

This thesis seminar explores the traffic behavior and optimization techniques in a management network, focusing on traffic analysis, routing, and future analysis considerations. The study delves into methods such as capturing traffic traces, analyzing data, and calculating traffic loads to enhance network performance.

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Traffic analysis and optimization of a mangement network

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  1. Traffic analysis and optimization of a mangement network Author: Mikko Koivisto Supervisor: Raimo Kantola Seminar of Master's Thesis

  2. Agenda • Introduction and background • Used methods • Results and considerations • Conclutions • Future analysis Seminar of Master's Thesis

  3. Introduction and background • The idea of the thesis was adopted from Network Planning, Nokia Networks • Interconnections of a management network->optimization • Planning challenge: traffic should not cause any bottle necks • Traffic analysis->traffic behavior Seminar of Master's Thesis

  4. The management network Seminar of Master's Thesis

  5. Routing areas Seminar of Master's Thesis

  6. Methods • Traffic traces captured from the management network • Data analyzed: • Ratios of different packet types compared • Inter-arrival times calculated • Traffic loads calculated Seminar of Master's Thesis

  7. Measurement scenarios Seminar of Master's Thesis

  8. Measurement scenarios 2 Seminar of Master's Thesis

  9. Results and considerations • The ratio of the routing traffic and the management action traffic • Size of the routing area • Few retransmissions -> buffer status • Use of the parallel 64 kbit/s DCC channel -> avoid packet losses • Inter-arrival times -> traffic intensity DCC = Data Communication Channel Seminar of Master's Thesis

  10. Routing data vs management data Seminar of Master's Thesis

  11. Different routing traffic types, distributions Seminar of Master's Thesis

  12. Message types and their frame sizes Seminar of Master's Thesis

  13. Some figures • Traffic load rates • Measurement period 1: 37,6 kbit/s • Measurement period 3: 40,4 kbit/s • Peak value in traffic utilization: 88 kbit/s • IAT values • Phase 1 (period 1): mean value converge to 0,208, standand deviation to 0,224 • Phase 3 (period 2): mean value converge to 0,101, standand deviation to 0,136 Seminar of Master's Thesis

  14. Network utilization Seminar of Master's Thesis

  15. IAT (inter-arrival time) measurement 1, phase 1 Seminar of Master's Thesis

  16. IAT measurement 2, phase 3 Seminar of Master's Thesis

  17. DCC channels Seminar of Master's Thesis

  18. Conclusions • Planning of the routing area sizes: IS-IS level 1 routing traffic the most represented • Location of the IS-IS level 2 routers • Use of multiple DCC channels in SDH nodes • Inter-arrival time output, changes in the traffic intensity Seminar of Master's Thesis

  19. Future analysis • Use of tools to simulate a management network (Opnet, NS) • Required models: transport model, OSI procols supported, IS-IS level 1 and 2 routing supported • -> More comprehensive study and deeper analysis Seminar of Master's Thesis

  20. Thank You! Seminar of Master's Thesis

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