Design of Real-Time Measurement and Intelligent Path Selection System for Network Quality under Big Data.

With the emergence and development of new businesses such as video and language, people's requirements for the internet are constantly increasing. This article mainly uses the intelligent path selection method to design a real-time measurement system for network quality. On this basis, this article uses instructions to send messages to the target host, then waits for the receiver's response message, and parses the message to obtain performance indicators such as latency. This article uses intelligent path selection to query and analyze network devices, and cooperates with network devices to actively group and send data to the network. It can measure the inflow and outflow of device interfaces. The packet loss rates of path 1 during T1 and T2 are 0.066% and 0.044%, while the packet loss rates of path 2 are 0.41% and 0.11%, respectively. From the data conclusion, it can be seen that intelligent path selection can effectively improve network quality and provide users with a better internet experience. [ABSTRACT FROM AUTHOR]