Abstract
Exponentially growing network traffic is triggered by different services including cloud computing, Content Delivery Networks and other. To satisfy these needs, new network technologies like Elastic Optical Networks (EON) are proposed. The EONs bring new, hard optimization problems, like Routing and Spectrum Allocation problem considered in this paper. The well-known and common tools to solve the NP-hard problems are Evolutionary Algorithms (EA). A number of EA-based methods were proposed to solve the RSA problem. However, the papers concerning the RSA problem omit the relatively new propositions of linkage learning methods. Therefore this paper proposes a new effective method that includes linkage learning, local optimization and is based on a novel, effective work schema to fill this gap.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aibin, M., Walkowiak, K.: Simulated Annealing algorithm for optimization of elastic optical networks with unicast and anycast traffic. In: Proceedings of 16th International Conference on Transparent Optical Networks ICTON (2014)
Cerutti, I., Martinelli, F., Sambo, N., Cugini, F., Castoldi, P.: Trading regeneration and spectrum utilization in code-rate adaptive flexi-grid networks. J. Lightwave Technol. 32(23), 4496–4503 (2014)
Chen, Y., Sastry, K., Goldberg, D.E.: A Survey of Linkage Learning Techniques in Genetic and Evolutionary Algorithms. In: IlliGAL Report No. 2007014, Illinois Genetic Algorithms Laboratory (2007)
Christodoulopoulos, K., Tomkos, I., Varvarigos, E.A.: Elastic bandwidth allocation in flexible OFDM based optical networks. IEEE J. Lightwave Technol. 29(9), 1354–1366 (2011)
Eira, A., Santos, J., Pedro, J., Pires, J.: Multi-objective design of survivable flexible-grid DWDM networks. IEEE/OSA J. Opt. Commun. Netw. 6(3), 326–339 (2014)
Goldberg, D.E., et. al.: Rapid, accurate optimization of difficult problems using fast messy genetic algorithms. In: Proceedings of 5th International Conference on Genetic Algorithms (1993)
Goscien, R., Walkowiak, K., Klinkowski, M.: Tabu search algorithm for routing, modulation and spectrum allocation in elastic optical network with anycast and unicast traffic. Comput. Netw. 79, 148–165 (2015)
Huang, T., Li, B.: A genetic algorithm using priority-based encoding for routing and spectrum assignment in elastic optical networks. In: Proceedings of ICICTA (2014)
ILOG AMPL/CPLEX software. ILOG website: www.ilog.com/products/cplex/
Jinno, M., et al.: Distance-adaptive spectrum resource allocation in spectrum sliced elastic optical path network. IEEE Commun. Mag. 48(8), 138–145 (2010)
Kwasnicka, H., Przewozniczek, M.: Multi population pattern searching algorithm: a new evolutionary method based on the idea of messy genetic algorithm. IEEE Trans. Evol. Comput. 15(5), 715–734 (2011)
Long, G., Xiang, Z., Wei, L., Zuqing, Z.: A two-population based evolutionary approach for optimizing routing, modulation and spectrum assignment (RMSA) in O-OFDM networks. IEEE Commun. Lett. 16(9), 1520–1523 (2012)
Orlowski, S., Wessaly, R., Pioro, M., Tomaszewski, A.: SNDlib 1.0—survivable network design library. Networks 55(3), 276–286 (2010)
Patel, A.N., Ji, P.N., Jue, J.P., Ting, W.: A naturally-inspired algorithm for routing, wavelength assignment, and spectrum allocation in flexible grid WDM networks. In: Proceedings of IEEE GC Workshops (2012)
Velasco, L., Wright, P., Lord, A., Junyent, G.: Saving CAPEX by extending flexgrid-based core optical networks toward the edges. IEEE/OSA J. Opt. Commun. Netw. 5(10), A171–A183 (2013)
Walkowiak, K., Klinkowski, M.: Joint anycast and unicast routing for elastic Optical networks: modeling and optimization. In: Proceedings of IEEE ICC (2013)
Walkowiak, K., Przewozniczek, M., Pajak, K.: Heuristic algorithms for survivable P2P multicasting. Appl. Artif. Intell. 27(4), 278–303 (2013)
Walkowiak, K., Klinkowski, M., Rabiega, B., Goscien, R.: Routing and spectrum allocation algorithms for elastic optical networks with dedicated path protection. Opt. Switching Netw. 13, 63–75 (2014). doi:10.1016/j.osn.2014.02.002
Xiang, Z., Wei, L., Long, G., Zuqing, Z.: Dynamic RMSA in elastic optical networks with an adaptive genetic algorithm. In: Proceedings of IEEE GLOBECOM (2012)
Acknowledgements
The author of this work would like to express his sincere appreciation to his advisor professor Krzysztof Walkowiak for his valuable suggestions during the paper redaction process.
This work was supported in by the Polish National Science Centre (NCN) under Grant DEC-2012/07/B/ST7/01215 and by the European Commission under the 7th Framework Programme, Coordination and Support Action, Grant Agreement Number 316097, ENGINE – European research centre of Network intelliGence for INnovation Enhancement.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Przewozniczek, M. (2015). Multi Population Pattern Searching Algorithm for Solving Routing Spectrum Allocation with Joint Unicast and Anycast Problem in Elastic Optical Networks. In: Jackowski, K., Burduk, R., Walkowiak, K., Wozniak, M., Yin, H. (eds) Intelligent Data Engineering and Automated Learning – IDEAL 2015. IDEAL 2015. Lecture Notes in Computer Science(), vol 9375. Springer, Cham. https://doi.org/10.1007/978-3-319-24834-9_39
Download citation
DOI: https://doi.org/10.1007/978-3-319-24834-9_39
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-24833-2
Online ISBN: 978-3-319-24834-9
eBook Packages: Computer ScienceComputer Science (R0)