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Establishing Benchmarks for Data Center Efficiency Measurements
• Discuss adaptive power management techniques • Identify automated data center management tools • Review how automation was applied for analysis of root causes within the data center • Describe ways to better design, manage, and operate data centers
The Parallel Data Lab (PDL), housed at Carnegie Mellon University, is a multi-disciplinary academic research organization with strong ties to industry partners. The PDL undertakes a number of research projects. The Data Center Observatory (DCO) is one of the lab's most ambitious projects. The DCO was conceived to serve as both a fully operational data center and a research facility devoted to developing strategies for reducing the operational costs of data centers. The purpose of this course is to review the results documented via the creation and operation of this unique functional laboratory. Course Credits: This course has been approved by the US Green Building Council (USGBC) for the following continuing education credits: • Approved by USGBC for (1) GBCI CE Hour for LEED Professionals • Approved for (1) GBCI CE Hour • Approved for (1) GBCI CE Hour for LEED Credentialing Maintenance Program (CMP) This course has been approved by American Hotel and Lodging Educational Institute (AHLEI) for the following recertification points: • Certified Engineering Operations Executive (CEOE) for (1) point. This course has been approved by BOMI International for the following continuing education credit: • Approved by BOMI for (1) CPD point. This course qualifies for Continuing Professional Development (CPD) credits for graduates of the RPA, FMA, and/or SMA designation programs by BOMI International, the Independent Institute for Property and Facility Management Education. This course has been approved by the Construction CPD Certification Service for the following continuing education credit: • Approved by CPD for (1) CPD point
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• Discuss adaptive power management techniques • Identify automated data center management tools • Review how automation was applied for analysis of root causes within the data center • Describe ways to better design, manage, and operate data cen...
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