Data center power and cooling infrastructure worldwide wastes more than 60,000,000 megawatt-hours per year of electricity that does no useful work powering IT equipment. This represents an enormous financial burden on industry, and is a significant public policy environmental issue. Understand the principles of a new, commercially available data center architecture that can be implemented today to dramatically improve the electrical efficiency of data centers.
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System planning is the Achilles’ heel of a data center physical infrastructure project. Planning mistakes can magnify and propagate through later deployment phases, resulting in delays, cost overruns, wasted time, and ultimately a compromised system. Much of the trouble can be eliminated by viewing system planning as a data flow model, with an orderly sequence of tasks that progressively transform and refine information from initial concept to final design.
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Electricity usage costs have become an increasing fraction of the total cost of ownership (TCO) for data centers. It is possible to dramatically reduce the electrical consumption of typical data centers through appropriate design of the network-critical physical infrastructure and through the design of the IT architecture. Learn how to quantify the electricity savings and find examples of methods that can greatly reduce electrical power consumption.
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Traditional methodologies for monitoring the data center environment are no longer sufficient. With technologies such as blade servers driving up cooling demands and regulations such as Sarbanes-Oxley driving up data security requirements, the physical environment in the data center must be watched more closely. While well understood protocols exist for monitoring physical devices such as UPS systems, computer room air conditioners, and fire suppression systems, there is a class of distributed monitoring points that is often ignored. Learn about this class of threats, get approaches to deploying monitoring devices, and get best practices in leveraging the collected data to reduce downtime.
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High density IT equipment stresses the power density capability of modern data centers. Installation and unmanaged proliferation of this equipment can lead to unexpected problems with power and cooling infrastructure including overheating, overloads, and loss of redundancy. The ability to measure and predict power and cooling capability at the rack enclosure level is required to ensure predictable performance and optimize use of the physical infrastructure resource. Learn the principles for achieving power and cooling capacity management.
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