Accurate estimation of the impact of IP traffic burstiness on the performance of wavelength division multiplexing networks
Optics Express, Vol. 13, Issue 24, pp. 9702-9707 (2005)
http://dx.doi.org/10.1364/OPEX.13.009702
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Abstract
Four-wave mixing and in-band crosstalk noise can limit the performance of wavelength division multiplexing optical networks. The statistics of these noises depend on the nature of the traffic. In this paper, the performance of an IP over MPλS-based network is analyzed using the Multi-Canonical Monte Carlo (MCMC) method and it is shown that the Gaussian approximation does not yield accurate results. The importance of the traffic load and the traffic distribution in the optical channels is also investigated. It is shown that a proper traffic distribution in the optical channels, can improve the performance of the network.
© 2005 Optical Society of America
1. Introduction
1 . D. Awduche and Y. Rekhter , “ Multiprotocol lambda switching: combining MPLS traffic engineering control with optical crossconnects ,” IEEE Com. Magazine 39 , 111 – 116 ( 2001 ). [CrossRef]
2 . I. Neokosmidis , Th. Kamalakis , A. Chipouras , and Th. Sphicopoulos , “ Estimation of the FWM noise probability density function using the MultiCanonical Monte-Carlo Method ,” Opt. Lett. 30 , 11 – 13 ( 2005 ). [CrossRef] [PubMed]
3 . Th. Kamalakis , Th. Sphicopoulos , and M. Sagriotis , “ Accurate error robability estimation in the presence of in-band crosstalk noise in WDM networks ,” J. Lightwave Technol. 21 , 2172 – 2181 ( 2003 ). [CrossRef]
4 . J. Tang , C. K. Siew , and L. Zhang , “ Optical nonlinear effects on the performance of IP traffic over GMPLS based DWDM networks ,” Computer Commun. 26 , 1330 – 1340 ( 2003 ). [CrossRef]
4 . J. Tang , C. K. Siew , and L. Zhang , “ Optical nonlinear effects on the performance of IP traffic over GMPLS based DWDM networks ,” Computer Commun. 26 , 1330 – 1340 ( 2003 ). [CrossRef]
2 . I. Neokosmidis , Th. Kamalakis , A. Chipouras , and Th. Sphicopoulos , “ Estimation of the FWM noise probability density function using the MultiCanonical Monte-Carlo Method ,” Opt. Lett. 30 , 11 – 13 ( 2005 ). [CrossRef] [PubMed]
3 . Th. Kamalakis , Th. Sphicopoulos , and M. Sagriotis , “ Accurate error robability estimation in the presence of in-band crosstalk noise in WDM networks ,” J. Lightwave Technol. 21 , 2172 – 2181 ( 2003 ). [CrossRef]
6 . D. Yevick , “ Multicanonical communication system modeling - application to PMD statistics ,” IEEE Photonic Technol. Lett. 14 , 1512 – 1514 ( 2002 ). [CrossRef]
2. Modeling of traffic burstiness
9 . J. Roberts , “ Traffic Theory and the Internet ,” IEEE Communications Magazine. 39 , 94 – 99 ( 2001 ). [CrossRef]
2 . I. Neokosmidis , Th. Kamalakis , A. Chipouras , and Th. Sphicopoulos , “ Estimation of the FWM noise probability density function using the MultiCanonical Monte-Carlo Method ,” Opt. Lett. 30 , 11 – 13 ( 2005 ). [CrossRef] [PubMed]
11 . Th. Kamalakis , D. Varoutas , and Th. Sphicopoulos , “ Statistical study of in-band crosstalk noise using the multicanonical Monte Carlo method ,” IEEE Photonic Technol. Lett. 16 , 2242 – 2244 ( 2004 ). [CrossRef]
2 . I. Neokosmidis , Th. Kamalakis , A. Chipouras , and Th. Sphicopoulos , “ Estimation of the FWM noise probability density function using the MultiCanonical Monte-Carlo Method ,” Opt. Lett. 30 , 11 – 13 ( 2005 ). [CrossRef] [PubMed]
11 . Th. Kamalakis , D. Varoutas , and Th. Sphicopoulos , “ Statistical study of in-band crosstalk noise using the multicanonical Monte Carlo method ,” IEEE Photonic Technol. Lett. 16 , 2242 – 2244 ( 2004 ). [CrossRef]
3. Accuracy of the Gaussian approximation
11 . Th. Kamalakis , D. Varoutas , and Th. Sphicopoulos , “ Statistical study of in-band crosstalk noise using the multicanonical Monte Carlo method ,” IEEE Photonic Technol. Lett. 16 , 2242 – 2244 ( 2004 ). [CrossRef]
2 . I. Neokosmidis , Th. Kamalakis , A. Chipouras , and Th. Sphicopoulos , “ Estimation of the FWM noise probability density function using the MultiCanonical Monte-Carlo Method ,” Opt. Lett. 30 , 11 – 13 ( 2005 ). [CrossRef] [PubMed]
4. Influence of the traffic load
5. Performance of higher network layers
6. Reducing the FWM degradation using proper traffic management
2 . I. Neokosmidis , Th. Kamalakis , A. Chipouras , and Th. Sphicopoulos , “ Estimation of the FWM noise probability density function using the MultiCanonical Monte-Carlo Method ,” Opt. Lett. 30 , 11 – 13 ( 2005 ). [CrossRef] [PubMed]
7. Conclusion
Acknowledgments
References
1 . | D. Awduche and Y. Rekhter , “ Multiprotocol lambda switching: combining MPLS traffic engineering control with optical crossconnects ,” IEEE Com. Magazine 39 , 111 – 116 ( 2001 ). [CrossRef] |
2 . | I. Neokosmidis , Th. Kamalakis , A. Chipouras , and Th. Sphicopoulos , “ Estimation of the FWM noise probability density function using the MultiCanonical Monte-Carlo Method ,” Opt. Lett. 30 , 11 – 13 ( 2005 ). [CrossRef] [PubMed] |
3 . | Th. Kamalakis , Th. Sphicopoulos , and M. Sagriotis , “ Accurate error robability estimation in the presence of in-band crosstalk noise in WDM networks ,” J. Lightwave Technol. 21 , 2172 – 2181 ( 2003 ). [CrossRef] |
4 . | J. Tang , C. K. Siew , and L. Zhang , “ Optical nonlinear effects on the performance of IP traffic over GMPLS based DWDM networks ,” Computer Commun. 26 , 1330 – 1340 ( 2003 ). [CrossRef] |
5 . | K. Hyunchin , L. Tancevski , G. An , and G. Castanon , “ FWM noise reduction in bursty metro transmission ,” Optical Fiber Communication Conference and Exhibit, (OFC 2001), 3 , WN3–1 – WN3–3 ( 2001 ). |
6 . | D. Yevick , “ Multicanonical communication system modeling - application to PMD statistics ,” IEEE Photonic Technol. Lett. 14 , 1512 – 1514 ( 2002 ). [CrossRef] |
7 . | R. Hozhonner et al., “ Use of multicanonical Monte Carlo simulations to obtain accurate bit error rates in optical communication systems ,” Opt. Lett. 28 , 1894 – 1896 ( 2003 ). [CrossRef] |
8 . | David P. Landau and K. Binder , A Guide to Monte Carlo Simulations in Statistical Physics , ( Cambridge: Cambridge University Press, 2002 ). |
9 . | J. Roberts , “ Traffic Theory and the Internet ,” IEEE Communications Magazine. 39 , 94 – 99 ( 2001 ). [CrossRef] |
10 . | R. Cooper , Introduction to Queueing Theory . ( New York: North Holland 1981 ). |
11 . | Th. Kamalakis , D. Varoutas , and Th. Sphicopoulos , “ Statistical study of in-band crosstalk noise using the multicanonical Monte Carlo method ,” IEEE Photonic Technol. Lett. 16 , 2242 – 2244 ( 2004 ). [CrossRef] |
OCIS Codes
(060.4230) Fiber optics and optical communications : Multiplexing
(060.4250) Fiber optics and optical communications : Networks
(060.4370) Fiber optics and optical communications : Nonlinear optics, fibers
(060.4510) Fiber optics and optical communications : Optical communications
(190.4380) Nonlinear optics : Nonlinear optics, four-wave mixing
ToC Category:
Research Papers
History
Original Manuscript: July 25, 2005
Revised Manuscript: July 25, 2005
Published: November 28, 2005
Citation
Ioannis Neokosmidis, Thomas Kamalakis, and Thomas Sphicopoulos, "Accurate estimation of the impact of IP traffic burstiness on the performance of wavelength division multiplexing networks," Opt. Express 13, 9702-9707 (2005)
http://www.opticsinfobase.org/oe/abstract.cfm?URI=oe-13-24-9702
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References
- D. Awduche, and Y. Rekhter, “Multiprotocol lambda switching: combining MPLS traffic engineering control with optical crossconnects,” IEEE Com. Magazine 39, 111 – 116 (2001). [CrossRef]
- I. Neokosmidis, Th. Kamalakis, A. Chipouras and Th. Sphicopoulos, “Estimation of the FWM noise probability density function using the MultiCanonical Monte-Carlo Method,” Opt. Lett. 30, 11-13 (2005). [CrossRef] [PubMed]
- Th. Kamalakis, Th. Sphicopoulos and M. Sagriotis, “Accurate error probability estimation in the presence of in-band crosstalk noise in WDM networks,” J. Lightwave Technol. 21, 2172-2181 (2003). [CrossRef]
- J. Tang, C. K. Siew, and L. Zhang, “Optical nonlinear effects on the performance of IP traffic over GMPLS based DWDM networks,” Computer Commun. 26, 1330-1340 (2003). [CrossRef]
- K. Hyunchin, L. Tancevski,.G. An and G. Castanon, “FWM noise reduction in bursty metro transmission,” Optical Fiber Communication Conference and Exhibit, (OFC 2001), 3, WN3-1-WN3-3 (2001).
- D. Yevick, “Multicanonical communication system modeling – application to PMD statistics,” IEEE Photonic Technol. Lett. 14, 1512-1514 (2002). [CrossRef]
- R. Hozhonner et al., “Use of multicanonical Monte Carlo simulations to obtain accurate bit error rates in optical communication systems,” Opt. Lett. 28, 1894 - 1896 (2003). [CrossRef]
- David P. Landau and K. Binder, A Guide to Monte Carlo Simulations in Statistical Physics (Cambridge: Cambridge University Press, 2002).
- J. Roberts, “Traffic Theory and the Internet,” IEEE Communications Magazine 39, 94 - 99 (2001). [CrossRef]
- R. Cooper, Introduction to Queueing Theory (New York: North Holland 1981).
- Th. Kamalakis, D. Varoutas, Th. Sphicopoulos, “Statistical study of in-band crosstalk noise using the multicanonical Monte Carlo method,” IEEE Photonic Technol. Lett. 16, 2242 – 2244 (2004). [CrossRef]
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