Research on Data Operation Monitoring and Analysis System of Computer Intelligent Cloud Platform
Lin Dewei, Jiang Meiling, Zhang Helin, Yiming Xu, Yan An · 2023
This paper proposes an application anomaly detection and bottleneck identification system (AAD-PSC) based on cloud platform service components. The system can monitor and analyze applications on multi-layered cloud platforms with customized index values. The embedded Ethernet interface is composed of MCU and Ethernet control chip W5500. The three-layer architecture of "cloud server, device, sensor and controller" is adopted to realize no difference monitoring at any time, place and terminal. The monitoring module dynamically adjusts the sampling period so that the sampling points are concentrated in the period when the resource usage of the application system fluctuates greatly. Use UDP/IP protocol to exchange information between the local and the cloud, and analyze and process the data in the cloud. The test results show that the system has the characteristics of low cost, small size, low power consumption and high data transmission accuracy.