Asynchronous approach for network fault management by strongly typed genetic programming

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@InProceedings{Shahi:2017:RTEICT,

• author = "Bimlendu Shahi and Divya Jha and N. D. Dushyanth and D. Suresh",
• booktitle = "2017 2nd IEEE International Conference on Recent Trends in Electronics, Information Communication Technology (RTEICT)",
• title = "Asynchronous approach for network fault management by strongly typed genetic programming",
• year = "2017",
• pages = "516--520",
• abstract = "The increasing demand of high speed data makes it necessary to effectively use the existing resources and available bandwidth rather than deploying new resources and upgrading the entire system to fulfil the increased need of data. Congestion in the transmission link result in degraded performance and faults in the network. This paper describes an approach for network fault management in optical transport network. The approach characterises both the blocking due to unavailability of network elements, as well as the blocking due to multiple interfering connection requests in synchronous way of communication. The algorithm is based on STGP (Strongly Typed Genetic Programming) which ensures the avoidance of faults in the network due to blocking calls. The evolution of each individual in population is asynchronous to optimise the bandwidth and Network elements.",
• keywords = "genetic algorithms, genetic programming, STGP",
• DOI = "doi:10.1109/RTEICT.2017.8256650",
• month = may,
• notes = "Also known as \cite{8256650}",

}

Genetic Programming entries for Bimlendu Shahi Divya Jha N D Dushyanth D Suresh

Citations