Simulating Data Centers with Redfish-Enabled Equipment
Abstract: Analytic data, such as temperature and power consumption of equipment, are becoming growingly critical in high-end enterprise and also in high-performance computing platforms, especially for current petascale and future exascale systems on the horizon, consisting of tens of thousands or even hundreds of thousands of servers. Also, these data are important for accurate and real-time system monitoring. Examining new ideas for data gathering, data analysis and systems management by running different tests against production data center could negatively affect the production environment and also could have unintentional consequences. For these reasons, a simulated data center can enable researchers, developers, and administrators to perform thorough tests before carrying out on a real data center or even to eliminate the need for physical examination. This research aims to discuss a new methodology and a framework we have developed via using container technology to simulate a scalable data center with Redfish-enabled equipment to achieve the objectives.
Back to The 2nd Industry/University Joint International Workshop on Data Center Automation, Analytics, and Control (DAAC) Archive Listing
Back to Full Workshop Archive Listing