Abstract
The increasing demand of high-speed data has aroused the problem of congestion in the network which results in degraded performance and faults in the network. Thus, it becomes necessary to effectively utilize the existing resources and available bandwidth rather than deploying new resources and upgrading the entire system to fulfill the increased need of data. This paper explores the causes of congestion in the backhaul network and presents an algorithm based on Strongly Typed Genetic Programming (STGP) with asynchronous population generation to optimize the utilization of bandwidth and resources. Every individual in the population is considered as a fiber which is a lightweight thread. The use of STGP ensures the avoidance of traffic congestion in the backhaul network due to blocking calls.
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References
M. Ersue. Ed. and B. Claise, “An Overview of the IETF Network Management Standards”, Internet Engineering Task Force (IETF) 6632, 2012.
Bimlendu Shahi, Divya Jha, Dr. Dushyanth N D, and Dr. Suresh D. “Recent Advances In Optical Network Technologies And Its Role In Telecommunication Industry.” International Journal of Research - Granthaalayah, 5(4) RACEEE, 15–22, 2017.
J. López Vizcaíno1, 4, Y. Ye1, V. López2, T. Jiménez3, P. M. Krummrich, “OTN Switching for Improved Energy and Spectral Efficiency in WDM MLR Networks”, OFC 2016.
Dazhen Pan, Vishal Anand, Hung Q. Ngo, “Cost-Effective Constructions for Nonblocking WDM Multicast Switching Networks”, IEEE Communications Society, 2004.
Zhongyang, M., Xiao, L. and Chuanhui, L., “The Spectrum Optimizing of Nonsinusoidal Orthogonal Modulation in Time and Domain System Based on PSWF Filter”, In Proceedings of the International Conference on High Performance Compilation, Computing and Communications (pp. 136–141). ACM, 2017.
Pedro Lopez-Garcia, Enrique Onieva, Eneko Osaba, Antonio D. Masegosa, and Asier Perallos “A Hybrid Method for Short-Term Traffic Congestion Forecasting Using Genetic Algorithms and Cross Entropy”, IEEE Transactions On Intelligent Transportation Systems, Vol. 17, No. 2, February 2016.
Nokia. “Computing a path to more profits: The benefits of a centralized Path Computation Element using the Nokia Bell Labs STAR algorithm”, White Paper, May 2015.
Divya Jha, Bimlendu Shahi, Dr. Suresh D, and Dr. Dushyanth N D. “Role of Equipment Management In Optical Transport Network.” International Journal of Research - Granthaalayah, 5(4) RACEEE, 155–160, 2017.
SB, V.K., Kumar, P., Shahi, B., Jha, D. and Monica, B.V., “Role of Diameter Based Protocol in enhancing of new and Upcoming Technologies”, Procedia Computer Science, Elsevier, 78, pp. 415–422, 2016.
Bimlendu Shahi, Dahal S., Mishra, A., Kumar, S.V. and Kumar, C.P., “A Review Over Genetic Algorithm and Application of Wireless Network Systems”, Procedia Computer Science, Elsevier, 78, pp. 431–438, 2016.
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Shahi, B., Jha, D., Dushyanth, N. (2019). Congestion Control in Backhaul Network Using Strongly Typed Genetic Programming. In: Saini, H., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. Lecture Notes in Networks and Systems, vol 32. Springer, Singapore. https://doi.org/10.1007/978-981-10-8201-6_14
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DOI: https://doi.org/10.1007/978-981-10-8201-6_14
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