Power & Cooling Capacity Planning
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The management of power and cooling capacity in the data center is more critical than ever as power use in the data center has doubled from 2000 to 2005 and the cost of power and cooling a server far exceeds the cost of the hardware over its useful life. As the processing power of servers continues to rise and with it, the density and heat produced by the processors, the power requirements to run and cool this equipment can exceed the utility’s ability to deliver power to the facility. In a recent survey of over 300 data center managers by Quocirca Research, almost half indicate that their facilities have physical constraints on the amount of power the utility can deliver to power and cool their equipment. The nlyte Data Center Infrastructure Management (DCIM) suite helps companies accurate predict their power and cooling needs and supports Green IT initiatives to reduce power in their facilities New Data Center Planning If you have the luxury of starting from scratch and building a new data center, nlyte can remove any doubt that you will have enough power to run your equipment and keep it cool. Before breaking ground on a new data center build, your entire data center power chain can be modeled in nlyte, from the utility to the server, providing piece of mind that you have adequate power day one and ten years down the road. The nlyte DataCenter Module supports the following power management functions:
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Map the entire power chain (Utility to each Server Asset)
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Understand the relationship between power and your applications
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Monitor Real-Time Power and Environmental Sensors
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Calculate Your Data Center’s Power Utilization Effectiveness (PUE)
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Instantly Identify Hot Spots
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Automatically Power Down Idle Equipment
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Reduce MTTR For Power Related Outages
Reducing Your PUE One widely accepted metric for measuring the effective use of power in the data center is Power Usage Effectiveness or PUE. If you can reduce your PUE by reducing the amount of electricity used by the IT equipment in the data center or reducing the amount of electricity used by the equipment supporting the IT equipment. With nlyte, you can easily model changes in the data center to assess the impact on your facility’s PUE. For example, you can model replacing two older CRAC units with a more efficient model, nlyte will take into consideration the reduction of electricity in the overall PUE calculation and the improving the available power capacity of your facility.
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