Abstract
The different methods used for classifying traffic along with the prediction of congestion and performance in software-defined networks were discussed. Although congestion prediction has foreseen many challenges, the algorithms did not give very accurate results. But over a period of time, several methods have been discovered to identify and predict the performance and congestion in software-defined networks (SDN). In this article, various techniques of classification were compared and predicted through tables and graphs.
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Parihar, A.S., Sinha, K., Singh, P., Cherwoo, S. (2021). Comparative Analysis of Traffic and Congestion in Software-Defined Networks. In: Pandian, A., Fernando, X., Islam, S.M.S. (eds) Computer Networks, Big Data and IoT. Lecture Notes on Data Engineering and Communications Technologies, vol 66. Springer, Singapore. https://doi.org/10.1007/978-981-16-0965-7_69
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DOI: https://doi.org/10.1007/978-981-16-0965-7_69
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