NFStream A flexible network data analysis framework

Network traffic analytics have increased in relevance as researchers promoted machine learning techniques to tackle several traffic management challenges. Over the past decade, the research community and the networking industry have investigated, proposed, and developed a growing number of solutions. However, a large subset of proposed approaches is based on unreliable measurement tools and methodologies. Additionally, some findings are reported on private datasets, which results in a lack of applicability and reproducibility. This paper covers the design and implementation of NFStream, a flexible network data analysis framework. Its key features are flexibility, real-time statistical analysis, and the ability to provide reliable ground truth for modern network usage. NFStream provides the community with a common research framework that can help stimulate research in this field and develop more efficient, reproducible solutions.

Automated summary

This paper discusses the design and implementation of NFStream, a flexible network data analysis framework that provides real-time statistical analysis and reliable ground truth for modern network usage. This framework serves as a common research platform to stimulate research and develop more efficient and reproducible solutions in network traffic analytics.