2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER) 2020
DOI: 10.1109/discover50404.2020.9278028
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Prediction of Network Congestion at Router using Machine learning Technique

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Cited by 6 publications
(3 citation statements)
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“…Using an ns-3 simulator finally, effectiveness measures evaluate the ML model's performance. The simulation findings show that the Naive Bayes approach outperforms the SVM method in terms of accuracy [24]. Table 1 shows the summary of workdone for network traffic prediction.…”
Section: Related Workmentioning
confidence: 94%
See 1 more Smart Citation
“…Using an ns-3 simulator finally, effectiveness measures evaluate the ML model's performance. The simulation findings show that the Naive Bayes approach outperforms the SVM method in terms of accuracy [24]. Table 1 shows the summary of workdone for network traffic prediction.…”
Section: Related Workmentioning
confidence: 94%
“…As per Cisco`s yearly internet survey, by 2023, more than two-thirds of people worldwide will have internet connectivity. The growth of online customers will have climbed from 3.9 billion to 5.3 billion by 2023 (Sneha, 2020). The rapid surge in network activity will cause considerable network bottlenecks.…”
Section: Introductionmentioning
confidence: 99%
“…The ability of ML to handle vast amounts of complex data is one of the reasons for its use in networking [21].…”
Section: Review Of Literaturementioning
confidence: 99%