In this paper

we consider the Internet Protocol(IP) network quality and study the impact of network performance factors

such as delay and packet loss on the end-to-end service quality of major accounts and overall quality of internet. We propose a unified architecture design and conduct an investigation on IP network quality monitoring and optimization solutions through a combination of Telemetry

Twamp

IFIT

Flow and other applications of new technologies. The results indicate that the deployment of proposed design can provide effective improvements in the timeliness

authenticity and reliability of monitoring data. Meanwhile

it will collect and analyze the quality data of massive packet granularity

and realize fault warning with the help of AI intelligent prediction capabilities after the deployment of design. The proposed design can both improve the quality of services

and further enhance the existing network's " autonomous driving" capabilities.