Data Center Monitoring Based on Equipment Clustering and Data Fusion

The data center is the infrastructure of the modern information society, it is vitally important to continuous monitor the data center's equipment for the stable operation. Real-time performance and low resource consumption are required for monitoring by larger and larger data centers. To meet this demand, this paper proposes a data center monitoring method based on equipment clustering and data fusion. Optimize cluster monitoring of data center equipment based on network management costs and equipment running characteristics, then data collection and data fusion are performed by the selected cluster head. This saves time and network bandwidth resources for the entire monitoring solution. The simulation experiment results show the effectiveness of the proposed method in this paper.