High Performance Cluster Monitoring System

System monitoring is an important basis for system modelling and improvement. For achieving higher efficiency in performance and lower energy consumption in cluster systems, we design a monitoring system that tracks the performance and temperature of clusters for education and research purposes. The total energy consumption of clusters can be estimated by using the performance and temperature data. Specifically, in our proposed system, all real-time data (including temperature and activities of components of computing nodes) is collected and stored in Round-Robin Databases (RRDs). These data can be visualized or downloaded through a friendly user interface for further analysis. Moreover, our system also provides users with a powerful runtime comparison feature, which allows users to compare the performance of a running experiment with historical experimental results without waiting for the completion of experiments. The data visualization and user interfaces in the monitoring system are demonstrated by using an experiment on our cluster system.