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Network Performance Engineering pp 859–890Cite as

Performance Modelling and Traffic Characterisation of Optical Networks

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Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 5233))

Abstract

A review is carried out on the traffic characteristics of an optical carrier’s OC-192 link, based on the IP packet size distribution, traffic burstiness and self-similarity. The generalised exponential (GE) distribution is employed to model the interarrival times of bursty traffic flows of IP packets whilst self-similar traffic is generated for each wavelength of each source node in the optical network. In the context of networks with optical burst switching (OBS), the dynamic offset control (DOC) allocation protocol is presented, based on the offset values of adapting source-destination pairs, using preferred wavelengths specific to each destination node. Simulation evaluation results are devised and relative comparisons are carried out between the DOC and Just-Enough-Time (JET) protocols. Moreover parallel generators of optical bursts are implemented and simulated using the Graphics Processing Unit (GPU) and the Compute Unified Device Architecture (CUDA) and favourable comparisons are made against simulations run on general-purpose CPUs.

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References

  1. Amstutz, S.R.: Burst Switching - an introduction. IEEE Communications Magazine, 36–42 (1983)

    Google Scholar 

  2. Listanti, M., Eramo, V., Sabella, R.: Architectural and Technological Issues for Future Optical Internet Networks. IEEE Communications Magazine 38(9), 82–92 (2000)

    Article  Google Scholar 

  3. Yoo, M., Qiao, C.: Just-Enough-Time (JET): a high speed protocol for bursty traffic in optical networks. Vertical-Cavity Lasers, Technologies for a Global Information Infrastructure, WDM Components Technology, Advanced Semiconductor Lasers and Applications, Gallium Nitride Materials, Processing and Devices 11(15), 26–27 (1997)

    Google Scholar 

  4. Dolzer, K., Gauger, C., Spath, J., Bodamer, S.: Evaluation of reservation mechanisms in optical burst switching networks. AEU Int. J. of Electronics and Communications 55(1) (2001)

    Google Scholar 

  5. Verma, S., Chaskar, H., Ravikanth, R.: Optical Burst Switching: A Viable Solution for Terabit IP Backbone. IEEE Network, 48–53 (2000)

    Google Scholar 

  6. Tan, K., Mohan, G., Chua, K.C.: Link Scheduling State Information Based Offset Management for Fairness Improvement in WDM Optical Burst Switching Networks. Computer Networks 45(6), 819–834 (2004)

    Article  MATH  Google Scholar 

  7. Kouvatsos, D.D.: Entropy Maximization and Queueing Network Models. Annals of Operation Research 48, 63–126 (1994)

    Article  MATH  Google Scholar 

  8. Zhang, Q., Vokkarane, V., Jue, J., Chen, B.: Absolute QoS Differentiation in Optical Burst-Switched Networks. IEEE Journal on Selected Areas in Communications 22(9) (2004)

    Google Scholar 

  9. Yu, X., Chen, Y., Qiao, C.: Study of traffic statistics of assembled burst traffic in optical burst switched networks. In: Proceedings, Optical Networking and Communication Conference (OptiComm), Boston, MA (2002)

    Google Scholar 

  10. Park, K., Willinger, W.: Self-Similar Network Traffic and Performance Evaluation. John Wiley and Sons, Chichester (2000)

    Book  Google Scholar 

  11. Willinger, W., Taqqu, M., Erramilli, A.: A Bibliographical Guide to Self-Similar Traffic and Performance Modeling for Modern High-Speed Networks. Stochastic Networks: Theory and applications. Oxford University Press, Oxford (1996)

    MATH  Google Scholar 

  12. Jeong, H.-D.J., Pawlikowski, K., McNickle, D.C.: Generation of Self-Similar Processes for Simulation Studies of Telecommunication Networks. Mathematical and Computer Modelling 38, 1249–1257 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  13. Jeong, H.-D.J., Pawlikowski, K., McNickle, D.C.: Generation of Self-Similar Processes for Simulation Studies of Telecommunication Networks. Mathematical and Computer Modelling 38, 1249–1257 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  14. Karagiannis, T., Molle, M., Faloutsos, M., Broido, A.: A Nonstationary Poisson View of Internet Traffic. In: INFOCOM 2004, 23rd Annual Joint Conference of the IEEE Computer and Communications Societies, vol. 3, pp. 1558–1569 (2004)

    Google Scholar 

  15. de Vega Rodrigo, M., Goetz, J.: An analytical study of optical burst switching aggregation strategies. In: Proceedings of the Third International Workshop on Optical Burst Switching, WOBS (2004)

    Google Scholar 

  16. Shannon, C., Aben, E., Claffy, K., Andersen, D.: The CAIDA Anonymized 2008 Internet Traces - 19/06/2008 12:59:08 - 19/06/2008 14:01:00 (2008), CAIDA, http://www.caida.org/passive/passive_2008_dataset.xml (retrieved December 10, 2008)

  17. CAIDA. The Cooperative Association for Internet Data Analysis (2003), http://www.caida.org/research/traffic-analysis/AIX/ (Retrieved from CAIDA)

  18. Kouvatsos, D.D.: Maximum Entropy and the G/G/1 Queue. Acta Informatica 23, 545–565 (1986)

    Article  MathSciNet  MATH  Google Scholar 

  19. Crovella, M., Bestavros, A.: Self-Similarity in World-Wide Web Traffic: Evidence and Possible Causes. In: Proc. ACM SIGMETRICS 1996 (1996)

    Google Scholar 

  20. Paxson, V., Floyd, S.: Wide Area Traffic: The Failure of Poisson Modeling. In: Proc. ACM SIGCOMM 1994 (1994)

    Google Scholar 

  21. Popescu, A.: Traffic Analysis and Control in Computer Communications Networks. Blekinge Institute of Technology, Stockholm (2007) (preprint)

    Google Scholar 

  22. Beran, J.: Statistics for Long-Memory Processes. Chapman and Hall, Boca Raton (1994)

    MATH  Google Scholar 

  23. Abry, P., Veitch, D.: Wavelet Analysis of Long Range Dependent Traffic. IEEE Transactions on Information Theory (1998)

    Google Scholar 

  24. Stallings, W.: High-Speed Networks and Internets: Performance and Quality of Service, 2nd edn. Prentice-Hall, Englewood Cliffs (2002)

    Google Scholar 

  25. Taqqu, M., Teverovsky, V.: On Estimating the Intensity of Long-Range Dependence. Finite and Infinite Variance Time Series. Boston University USA, Boston (1996)

    MATH  Google Scholar 

  26. Qiao, C., Yoo, M.: Choices, Features and Issues in Optical Burst Switching (OBS). Optical Networking Magazine 2 (1999)

    Google Scholar 

  27. Xu, L., Perros, H.G., Rouskas, G.N.: A Simulation Study of Access Protocols for Optical Burst-Switched Ring Networks. In: Proceedings of Networking (2002)

    Google Scholar 

  28. Aysegul, G., Biswanath, M.: Virtual-Topology Adaptation for WDM Mesh Networks Under Dynamic Traffic. IEEE/ACM Transactions on Networking 11, 236–247 (2003)

    Article  Google Scholar 

  29. NVIDIA. NVIDIA CUDA Compute Unified Device Architecture, Programming Guide. NVIDIA (2007), http://www.nvidia.com/object/cuda_develop.html

  30. Dolzer, K., Gauger, C.: On burst assembly in optical burst switching networks - a performance evaluation of Just-Enough-Time. In: Proceedings of the 17th International Teletraffic Congress (ITC 17), Salvador (2001)

    Google Scholar 

  31. Barakat, N., Sargent, E.H.: Analytical Modeling of Offset-Induced Priority in Multiclass OBS Networks. IEEE Transactions on Communications 53(8), 1343–1352 (2005)

    Article  Google Scholar 

  32. Matsumoto, M., Nishimura, T.: Mersenne Twister: A 623-Dimensionally Equidistributed Uniform Pseudo-Random Number Generator. ACM Transactions on Modelling and Computer Simulation (TOMACS) 8(1), 3–30 (1998)

    Article  MATH  Google Scholar 

  33. Hu, G., Dolzer, K., Gauger, C.: Does Burst Assembly Really Reduce the Self-Similarity. In: Optical Fiber Communications Conference, OFC 2003, vol. 1, pp. 124–126 (2003)

    Google Scholar 

  34. Triolet, D.: NVidia CUDA: Preview - BeHardware (2007), http://www.behardware.com/art/imprimer/659

  35. Feldmann, A.: Characteristics of TCP Connection Arrivals. In: Self-Similar Network Traffic and Performance Evaluation, pp. 367–397. Wiley Interscience, Hoboken (2000)

    Chapter  Google Scholar 

  36. Khronos Group.: OpenCL - The open standard for parallel programming of heterogeneous systems, http://www.khronos.org/opencl/

  37. Park, K., Willinger, W.: Self-Similar Network Traffic: An Overview. In: Park, K., Willinger, W. (eds.) Self-Similar Network Traffic and Performance Evaluation, pp. 1–38 (2000)

    Google Scholar 

  38. Mouchos, C., Tsokanos, A., Kouvatsos, D.D.: Dynamic OBS Offset Allocation in WDM Networks. Computer Communications (COMCOM) - The International Journal for the Computer and Telecommunications Industry, Special Issue on ’Heterogeneous Networks: Traffic Engineering and Performance Evaluation 31(suppl. 1) (to appear mid, 2010), (in Press Corrected Proof), ISSN 0140-3664, doi: 10.1016/j.comcom.2010.04.009, http://www.sciencedirect.com/science/article/B6TYP-4YVY769-1/2/e3903ceb381e6d5f30adf33d1824281a (available online April 16, 2010)

  39. Mouchos, C., Kouvatsos, D.D.: Parallel Traffic Generation of a Decomposed Optical Edge Node on a GPU, in Traffic and Performance Engineering for Heterogeneous Networks. In: Kouvatsos, D.D. (ed.) Performance Modelling and Analysis of Heterogeneous Networks, ch. 20, Aalborg, Denmark. Series of Information Science 7 Technology, vol. 2, pp. 417–439. River Publishers (2009), ISBN 978-87-92329-18-9

    Google Scholar 

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Authors and Affiliations

  1. NetPen - Networks and Performance Engineering Research Unit, Informatics Research Institute (IRI), University of Bradford, Bradford, West Yorkshire, BD7 1DP, UK

    Harry Mouchos, Athanasios Tsokanos & Demetres D. Kouvatsos

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  1. Harry Mouchos
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  2. Athanasios Tsokanos
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  3. Demetres D. Kouvatsos
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Editors and Affiliations

  1. School of Computing, Informatics and Media, University of Bradford, Richmond Road, BD7 1DP, Bradford, UK

    Demetres D. Kouvatsos

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Mouchos, H., Tsokanos, A., Kouvatsos, D.D. (2011). Performance Modelling and Traffic Characterisation of Optical Networks. In: Kouvatsos, D.D. (eds) Network Performance Engineering. Lecture Notes in Computer Science, vol 5233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02742-0_37

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  • DOI: https://doi.org/10.1007/978-3-642-02742-0_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02741-3

  • Online ISBN: 978-3-642-02742-0

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