The Analysis And Application Of The Network User Behaviour

As one of the most important infrastructures in the modern information society, the network has become a carrier and supporter of the knowledge economy. With the expansion of network scale and the popularity of network application, some issues including network security and network performance have been increasingly prominent, which put great pressure on the network management. However, some issues including the performance and security in the LAN and campus network originated in the end-user host, the management of network equipment doesn’t have the ability to solve problems radically. Network performance analysis based on user behaviour has become an important tool for network planning, which plays an important role to improve the quality of network service and the efficiency of network operation, and to provide good management for the network.In this paper, I put forward some ideas and methods for the performance analysis based on user behaviour according to an accumulation of some typical and non-classified user network trouble instances analysis, I also make use of related traffic acquisition theory and do a further research on the impact of traffic self-similarity, burst, protocol characteristics to the network performance.In addition, I also establish traffic prediction model based on a comprehensive analysis and put forward abnormal traffic early warning mechanism, looking forward to detect abnormal traffic timely and shoot network trouble. At the same time, I provide a hypothetical network optimization program with the combination of the user’s actual situation.