(The research of traffic engineering and network behavior involves the measurement, modeling, characterization and control of network operation status. Through these studies, we can master and optimize the network operation status, enhance the reliability of network operation, and plan and design the network more effectively. Network traffic monitoring is an important part of traffic engineering. Obtaining the statistical information of various traffic through traffic monitoring is the basis of network management, network service analysis, security and error monitoring, network billing and other applications and research. With the explosive increase of network traffic in recent years, traffic monitoring by sampling has become a key content of traffic monitoring technology. Based on the detailed understanding of the relevant theories of traffic monitoring technology, this paper makes a detailed analysis and comparison of the existing traffic monitoring technologies, such as traffic direct capture, RMON, NetFlow, sFlow, in terms of traffic information acquisition and information transmission. The paper also analyzes various sampling methods of traffic monitoring, and summarizes them into three categories: traditional sampling, trajectory sampling and adaptive sampling. It is considered that traditional sampling is more suitable for traffic monitoring. Then, combined with the actual traffic data, the performance of several commonly used traditional sampling methods in traffic statistics such as packet length distribution, protocol distribution, traffic throughput and IP traffic statistics is discussed. The analysis of experimental data shows that different sampling methods have little difference in performance under the same conditions, while the same sampling method has different performance on different traffic statistical information. For packet length distribution and protocol distribution, due to their low accuracy requirements, the sampled data results can well meet the requirements, and the traffic throughput calculated from the sampled data is also quite accurate, but the error increases rapidly with the increase of the sampling ratio. For IP traffic statistics, the error of the sampled data results is relatively larger than the first three.)