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20222026
most citedTowards an Ensemble Regressor Model for Anomalous ISP Traffic Prediction

2 citations · 3 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.LG2022★ 1 cited

Transfer Learning Based Efficient Traffic Prediction with Limited Training Data

Sajal Saha, Anwar Haque, Greg Sidebottom

Efficient prediction of internet traffic is an essential part of Self Organizing Network (SON) for ensuring proactive management. There are many existing solutions for internet tra…

cs.LG2022

Wavelet-Based Hybrid Machine Learning Model for Out-of-distribution Internet Traffic Prediction

Sajal Saha, Anwar Haque, Greg Sidebottom

Efficient prediction of internet traffic is essential for ensuring proactive management of computer networks. Nowadays, machine learning approaches show promising performance in mo…

cs.LG2022

Deep Sequence Modeling for Anomalous ISP Traffic Prediction

Sajal Saha, Anwar Haque, Greg Sidebottom

Internet traffic in the real world is susceptible to various external and internal factors which may abruptly change the normal traffic flow. Those unexpected changes are considere…

cs.NI2022

An Empirical Study on Internet Traffic Prediction Using Statistical Rolling Model

Sajal Saha, Anwar Haque, Greg Sidebottom

Real-world IP network traffic is susceptible to external and internal factors such as new internet service integration, traffic migration, internet application, etc. Due to these f…

cs.LG2022★ 2 cited

Towards an Ensemble Regressor Model for Anomalous ISP Traffic Prediction

Sajal Saha, Anwar Haque, Greg Sidebottom

Prediction of network traffic behavior is significant for the effective management of modern telecommunication networks. However, the intuitive approach of predicting network traff…