Edge Computing Based Data Center Monitoring
Long Yan, Yan Li, Hu Song, Haodong Zou, Lijun Wang · 2021
With the increase of data center scale, monitoring the status of its internal running devices has become the basis of automatic operations. Traditional environmental monitoring is often based on fixed sensors with limited server racks to collect temperature and humidity data, which cannot be effectively combined with the server task scheduling and resource allocation system. In order to provide reliable services to users, a reliable and low-power data center environmental data monitoring system is needed to collect and analyze data such as temperature, humidity and smoke. This paper presents a data center monitoring system based on edge computing, which uses edge computing and wireless sensor network technology to monitor the running status of the data center. The edge device collects the environmental data in real time, and then obtains the real-time running state parameters of the server through Intelligent Platform Management Interface. By analyzing the environmental data of the data center, the energy consumption and operating parameters of the server can be monitored and adjusted.