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Solving routing and spectrum allocation problems in flexgrid optical networks using pre-computing strategies

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Abstract

Flexible optical network architectures are considered a very promising solution where spectrum resources are allocated within flexible frequency grids. This paper presents a minimum spectrum utilization (SU) and average path length (APL) approach to solve the (off-line) routing and spectrum allocation problem (RSA) based on combining a simple ordering pre-computation strategy, namely most subcarriers first (MSF) with three nature-inspired algorithms. These algorithms are ant colony optimization, differential evolution based relative position indexing (DE-RPI), and differential evolution general combinatorial (DE-GC). We begin by showing that MSF is the most effective ordering pre-computation strategy when compared to other well-known typical heuristics in the literature, such as first-fit, and longest path first. Then, we apply MSF in combination with the three nature-inspired algorithms to simultaneously optimize the SU and APL. The usefulness of MSF ordering pre-computation strategy is presented via a comparison of results obtained when using and not using MSF under the same scenarios. The algorithms are evaluated in benchmark optical networks, such as the NSFNet, the European optical network, and the 40-node USA network. We show that DE-RPI with MSF ordering pre-computation is the best option to solve the RSA problem, obtaining an average improvement percentage in the range of 0.9772–4.4086% on the SU and from \(-0.1668\) to 0.8511% on the APL when compared to other meta-heuristics, either with or without the MSF ordering policy.

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Notes

  1. Parametric analysis (or tuning of parametric) in meta-heuristics is a broad area of research that it is not within the scope of this investigation and is left as further work.

References

  1. Zhang, G., De Leenheer, M., Morea, A., Mukherjee, B.: A survey on OFDM-based elastic core optical networking. IEEE Commun. Surv. Tutor. 15(1), 65–87 (2013). First

    Article  Google Scholar 

  2. Kim, B.W., Lee, H.H., Lee, J.H., Kim, B.T.: Wavelength division multiplexing-passive optical network system. US Patent 9,008,513, 14 Apr 2015

  3. Christodoulopoulos, K., Tomkos, I., Varvarigos, E.A.: Routing and spectrum allocation in OFDM-based optical networks with elastic bandwidth allocation. In: IEEE Global Telecommunications Conference, pp. 1–6 (2010)

  4. Büsing, C., Grub, A., Koster, A.M.C.A., Laube, W., Tieves, M.: Robust spectrum allocation in elastic flexgrid optical networks: complexity and formulations. Networks 70(4), 342–359 (2017)

    Article  MathSciNet  Google Scholar 

  5. Jue, J.P., Yang, W.-H., Kim, Y.-C., Zhang, Q.: Optical packet and burst switched networks: a review. IET Commun. 3(3), 334–352 (2009)

    Article  Google Scholar 

  6. Velasco, L., Klinkowski, M., Ruiz, M., Comellas, J.: Modeling the routing and spectrum allocation problem for flexgrid optical networks. Photon Netw. Commun. 24, 177–186 (2012)

    Article  Google Scholar 

  7. Christodoulopoulos, K., Tomkos, I., Varvarigos, E.A.: Elastic bandwidth allocation in flexible OFDM-based optical networks. J. Lightwave Technol. 29(9), 1354–1366 (2011)

    Article  Google Scholar 

  8. Teixeira, D.B.A., Batista, C.T., Cardoso, A.J.F., Araújo, J.D.S.: A genetic algorithm approach for static routing and wavelength assignment in all-optical WDM networks. In: Portuguese Conference on Artificial Intelligence, pp. 421–432. Springer (2017)

  9. Gong, L., Zhou, X., Wei, L., Zhu, Z.: A Two-population based evolutionary approach for optimizing routing, modulation and spectrum assignments (RMSA) in O-OFDM networks. IEEE Commun. Lett. 16(9), 1520–1523 (2012)

    Article  Google Scholar 

  10. Wang, Y., Cao, X., Pan, Y.: A study of the routing and spectrum allocation in spectrum-sliced elastic optical path networks. In: Proceedings IEEE INFOCOM, pp. 1503–1511 (2011)

  11. Klinkowski, M., Walkowiak, K.: Routing and spectrum assignment in spectrum sliced elastic optical path network. IEEE Commun. Lett. 15(8), 884–886 (2011)

    Article  Google Scholar 

  12. Lezama, F., Castañón, G., Sarmiento, A.M., Martins, I.B.: Differential evolution optimization applied to the routing and spectrum allocation problem in flexgrid optical networks. Photon Netw. Commun. 31(1), 129–146 (2016)

    Article  Google Scholar 

  13. Wang, Y., Zhang, J., Zhao, Y., Wang, J., Wanyi, G.: ACO-based routing and spectrum allocation in flexible bandwidth networks. Photon Netw. Commun. 25(3), 135–143 (2013)

    Article  Google Scholar 

  14. Goscien, R., Klinkowski, M., Walkowiak, K.: A tabu search algorithm for routing and spectrum allocation in elastic optical networks. In: International Conference on Transparent Optical Networks, pp. 1–4 (2014)

  15. Zhao, J., Wymeersch, H., Agrell, E.: Nonlinear impairment-aware static resource allocation in elastic optical networks. J. Lightwave Technol. 33(22), 4554–4564 (2015)

    Article  Google Scholar 

  16. Marković, G.Z.: Routing and spectrum allocation in elastic optical networks using bee colony optimization. Photon Netw. Commun. 34(3), 1–19 (2017)

    Article  Google Scholar 

  17. Moniz, D., Eira, A., de Sousa, A., Pires, J.: On the comparative efficiency of non-disruptive defragmentation techniques in flexible-grid optical networks. Opt. Switch. Netw. 25, 149–159 (2017)

    Article  Google Scholar 

  18. Assis, K.D.R., dos Santos, A.F., Queiroz, I.M.: Routing in EON networks under mixed static and dynamic Traffic. In: Optical Metro Networks and Short-Haul Systems IX, vol. 10129, p. 1012908. International Society for Optics and Photonics (2017)

  19. Shahsavari, S., Beyranvand, H., Salehi, J.A.: Multi-quality of service routing and spectrum assignment in elastic optical networks. In: International Conference on Communications (ICC) (2017)

  20. Chatterjee, B., Sarma, N., Oki, E.: Routing and spectrum allocation in elastic optical networks: a tutorial. IEEE Commun. Surv. Tutor. PP(99), 1 (2015)

  21. Abkenar, F.S., Rahbar, A.G.: Study and analysis of routing and spectrum allocation (RSA) and routing, modulation and spectrum allocation (RMSA) algorithms in elastic optical networks (EONs). Opt. Switch. Netw. 23, 5–39 (2017)

    Article  Google Scholar 

  22. Alyatama, A.: Analyzing the relative cost concept in elastic optical networks. In: International Conference on Computing, Networking and Communications (ICNC) (2017)

  23. Pavani, G.S., de França Queiroz, A., Pellegrini, J.C.: Analysis of ant colony optimization-based routing in optical networks in the presence of byzantine failures. Inf. Sci. 340, 27–40 (2016)

    Article  MathSciNet  Google Scholar 

  24. Storn, R., Price, K.: Differential evolution-a simple and efficient heuristic for global optimization over continuous spaces. J. Global Optim. 11(4), 341–359 (1997)

    Article  MathSciNet  Google Scholar 

  25. Dorigo, M., Maniezzo, V., Colorni, A.: Ant system: optimization by a colony of cooperating agents. IEEE Trans. Syst. Man Cybern. B Cybern. 26(1), 29–41 (1996)

    Article  Google Scholar 

  26. Mellal, M.A., Williams, E.J.: A survey on ant colony optimization, particle swarm optimization, and cuckoo algorithms. In: Handbook of Research on Emergent Applications of Optimization Algorithms, p. 37 (2017)

  27. Wong, L., Moin, N.H.: Ant colony optimization for split delivery inventory routing problem. Malays. J. Comput. Sci. 30(4), 333–348 (2017)

    Article  Google Scholar 

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Acknowledgements

Alberto F. Martínez-Herrera thanks Tecnologico de Monterrey for the support to complete this research.

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Correspondence to Gerardo Castañón.

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Lezama, F., Martínez-Herrera, A.F., Castañón, G. et al. Solving routing and spectrum allocation problems in flexgrid optical networks using pre-computing strategies. Photon Netw Commun 41, 17–35 (2021). https://doi.org/10.1007/s11107-020-00918-4

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