Request Handling in Elastic Optical Data Center Networks: A Routing Algorithm Approach
DOI:
https://doi.org/10.5753/jisa.2025.5048Keywords:
Data Center, Elastic Optical Networks, Routing, Space Division MultiplexingAbstract
In recent years, worldwide communication has seen significant advancements driven by the growing demands of modern applications. These developments have introduced new requirements for data transfer, emphasizing the need for both high speeds and high efficiency. The cloud services model illustrates this shift, underscoring the importance of developing new mechanisms to handle increased data traffic. Beyond technological techniques, progress in the physical layer of networks is also crucial. It includes adopting spectrally and spatially flexible links that can precisely tune to the varying demands of network requests. In response to these challenges, this article proposes a routing algorithm tailored for Space-Division Multiplexing Data Center Elastic Optical Networks. The main objective of this algorithm is to improve network performance by maximizing the number of requests served efficiently. By taking advantage of the flexibility of optical networks, the proposed solution aims to enhance journal center capabilities while meeting the stringent requirements of modern communication systems. The potential of the proposed algorithm is seen in the Bandwidth Blocking Ratio, where it has better results than the other algorithms compared by up to two orders of magnitude, thus supporting the demands of the network.
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Agarwal, R. and Bhatia, R. (2024). Multipath routing using genetic algorithm in elastic optical network. Journal of Optics, 53(3):2316-2321.
Ahmadi, M., Hadi, M., and Reza Pakravan, M. (2024). Power-efficient joint dynamic resource allocation in virtualized inter-data center elastic optical networks. IEEE Access, 12:75599-75609.
Aida, H. and Uenohara, H. (2024). Low-latency optical switching technology for next-generation edge-cloud computing platforms. Opt. Continuum, 3(6):970-982.
Asiri, A. and Wang, B. (2024). Deep reinforcement learning for qot-aware routing, modulation, and spectrum assignment in elastic optical networks. Journal of Lightwave Technology, pages 1-27.
Behera, S., Savva, G., Manousakis, K., and Ellinas, G. (2023). Impairment-aware routing, modulation, spectrum, and core allocation with bit loading in spectrally–spatially flexible optical networks. J. Opt. Commun. Netw., 15(6):318-332.
Chen, B., Lei, Y., Hu, J., Liu, L., Ma, W., Wu, J., Gao, M., Shao, W., and Ho, P.-H. (2023). Crosstalk-sensitive core and spectrum assignment in mcf-based sdm-eons. IEEE Transactions on Communications, 71(12):7133-7148.
Chen, B., Liu, L., Fan, Y., Shao, W., Gao, M., Chen, H., Ju, W., Ho, P.-H., Jue, J. P., and Shen, G. (2024). Low-latency partial resource offloading in cloud-edge elastic optical networks. J. Opt. Commun. Netw., 16(2):142-158.
Hafezi, M. and Ghaffarpour Rahbar, A. (2024). Fragmentation-aware with core classification algorithms for spectrum allocation in elastic optical networks-space division multiplexing (sdm-eon). Optical Fiber Technology, 82:103622.
Hosseini, S., de Miguel, I., Merayo, N., de la Rosa, R., Lorenzo, R. M., and Durán Barroso, R. J. (2024). Energy efficient multipath routing in space division multiplexed elastic optical networks. Computer Networks, 244:110349.
Ju, M., Liu, Y., Zhou, F., and Xiao, S. (2022). Disaster-resilient and distance-adaptive services provisioning in elastic optical inter-data center networks. Journal of Lightwave Technology, 40(13):4064-4077.
Khorasani, Y., Ghaffarpour Rahbar, A., and Jafari-Beyrami, M. (2023). Fragmentation management to reduce bandwidth wastage in sdm-eon networks. Photonic Network Communications, 46(2):51-67.
Liu, H., Ren, J., Chen, Y., Hu, J., Tang, C., and Tang, M. (2022). Spectrum slicing-based fragmentation aware routing and spectrum allocation in elastic optical networks. Optical Switching and Networking, 45:100673.
Liu, L., Chen, B., Ma, W., Chen, H., Gao, M., Shao, W., Wu, J., Peng, L., and Ho, P.-H. (2023). Selective resource offloading in cloud-edge elastic optical networks. Journal of Lightwave Technology, 41(20):6431-6445.
Moura, P. M. and Drummond, A. C. (2025). FlexGridSim: Flexible Grid Optical Network Simulator. Available at: [link].
Panayiotou, T., Michalopoulou, M., and Ellinas, G. (2023). Survey on machine learning for traffic-driven service provisioning in optical networks. IEEE Communications Surveys & Tutorials, 25(2):1412-1443.
Rezaee, A., McCann, R., and Vokkarane, V. M. (2024). Dynamic crosstalk-aware routing, modulation, core, and spectrum allocation for sliceable demands in sdm-eons. In 2024 IEEE 30th International Symposium on Local and Metropolitan Area Networks (LANMAN), pages 76-81.
Sudhakar, Khan, A. M., and Batham, D. (2024). Future generation elastic optical networks: A state-of-art review. In Nanda, S. J., Yadav, R. P., Gandomi, A. H., and Saraswat, M., editors, Data Science and Applications, pages 397-410, Singapore. Springer Nature Singapore.
Villamayor-Paredes, M. M. R., Maidana-Benítez, L. V., Colbes, J., and Pinto-Roa, D. P. (2023). Routing, modulation level, and spectrum assignment in elastic optical networks. a route-permutation based genetic algorithms. Optical Switching and Networking, 47:100710.
Zou, R., Lin, S.-C., Matsuura, M., Hasegawa, H., and Subramaniam, S. (2024). Drama-dc: Disaster recovery algorithm with mitigation awareness in data center eons. In 2024 International Conference on Optical Network Design and Modeling (ONDM), pages 1-6.
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