Efficient Visualization Framework for Real-Time Monitoring Network Traffic of High-Speed Networks

As we know there will be a big volume of data, querying it or employing a machine learning method that requires a full dataset to anticipate passive internet traffic is not appropriate for all aspects of traffic monitoring software. True, similar algorithms may be used for other reasons, but the fundamental characteristic that no other model has is a system that can forecast immediate changes or data mining. The major goal of this study is to provide effective visualization monitoring for real-time passive traffic analysis in low-complexity high-speed networks. We also in near future will look at how rendered graphs from several time bins might be stitched together to create a massive amount of data that shows how traffic patterns change over time.