Abstract
The last years the telecommunication sector constantly evolve. Estimating parameters as the probability of a rare event has applications in reliability, telecommunications, insurance, and several other areas. The rare events such as blocking, overflows and losses in new generation networks, especially in systems with very low probability, are one of the major estimation problems for ordinary simulation methods. Speed-up simulation is the most convenient method for estimation of rare events. The main purpose of the research is to determine and compare the significant parameters for speed-up simulation of SDN. The simulations opportunities represent a chance to reduce the digital divide and to ensure SDN with minimum cost of time and financials. The simulation of teletraffic models allows the modelling of resource management issues, admission of system users with different parameters.
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Acknowledgements
The study was supported by contract of University of Ruse “Angel Kanchev”, No BG05M2OP001-2.009-0011-C01, “Support for the development of human resources for research and innovation at the University of Ruse “Angel Kanchev”. The project is funded with support from the Operational Program “Science and Education for Smart Growth 2014–2020” financed by the European Social Fund of the European Union.
The present document has been produced with the financial assistance of the European Social Fund under Operational Programme “Human Resources Development”. The contents of this document are the sole responsibility of “Angel Kanchev” University of Ruse and can under no circumstances be regarded as reflecting the position of the European Union or the Ministry of Education and Science of Republic of Bulgaria:
Project № BG05M2OP001-2.009-0011-C01 “Support for the development of human resources for research and innovation at the University of Ruse “Angel Kanchev”.
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Ivanova, E., Iliev, T., Mihaylov, G., Keseev, V., Stoyanov, I. (2019). Significant Simulation Parameters for RESTART/LRE Method in Teletraffic Systems of SDN. In: Kabashkin, I., Yatskiv (Jackiva), I., Prentkovskis, O. (eds) Reliability and Statistics in Transportation and Communication. RelStat 2018. Lecture Notes in Networks and Systems, vol 68. Springer, Cham. https://doi.org/10.1007/978-3-030-12450-2_25
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DOI: https://doi.org/10.1007/978-3-030-12450-2_25
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