ppti.info Art The Art Of The Data Center Pdf


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Image of the building exterior of Citi's Data Center (Chapter 7) provided courtesy The idea for The Art of the Data Center orginated in while I was working. the above-ground entrance to Bahnhof's Data Center in stockholm, sweden. ( 30 m) underground in a former nuclear bunker, the Data Center retains its. Today, data centers are the beating hearts of the companies they serve. Data centers process billions of Internet transactions every day. It's therefore critical for .

The Art Of The Data Center Pdf

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PDF | Data Center (DC) Transformation is much like a campaign fought within Drawing inspiration from Sun Tzu's “The Art of War,” this article. Chinese strategist Sun Tzu, in The Art business practices estimated [16] that if a 12 MW data center of War, stated five factors: the Moral Law, Heaven, Earth. Global Relay's data center of the future—today. Collaborating with HP, Global Relay builds a state-of-the-art, eco-friendly facility that delivers lightning-fast.

A typical energy efficiency analysis measures factors such as a data center's power use effectiveness PUE against industry standards, identifies mechanical and electrical sources of inefficiency, and identifies air-management metrics.

Case studies have shown that by addressing energy efficiency holistically in a data center, major efficiencies can be achieved that are not possible otherwise. Thermal zone mapping[ edit ] Thermal zone mapping uses sensors and computer modeling to create a three-dimensional image of the hot and cool zones in a data center. For example, critical servers might be placed in a cool zone that is serviced by redundant AC units. Green data centers[ edit ] Main article: Green Data Center This water-cooled data center in the Port of Strasbourg , France claims the attribute green.

Data centers use a lot of power, consumed by two main usages: the power required to run the actual equipment and then the power required to cool the equipment.

Power-efficiency reduces the first category. Arctic locations can use outside air, which provides cooling, are getting more popular.

Thus countries with favorable conditions, such as: Canada, [] Finland, [] Sweden, [] Norway [] and Switzerland, [] are trying to attract cloud computing data centers.

Taguchi argued that quality should start with the understanding of quality costs in various situations. He carried this one step further by considering the cost to society of manufacturing defects. Outside of the costs of rework, any part that is manufactured outside of its design specification and delivered to the customer would result in some loss to the customer through early wear-out; and problems throughout the system a chain effect due to the non-conformance of one part.

These external losses, Taguchi argued, would eventually find their way back to the manufacturer. For sustainability loss, an example would be: if a given data center is not meeting the best practice benchmark in Table 1, the loss in dollars is a function of the extra CO2 produced for the extra power consumed multiplied by the cost of carbon emission credits to offset the additional CO2.

Parameter m is the target value of the measured output.

Finally, variable y is the currently measured calculated output value. For our data center sustainability formulation, it is defined as the current CO2 emission based on the actual PUE. TABLE 1. This paper defines k for data center sustainability, as shown in Equation 3. As technology improves, SA is adjusted to lower PUE values as design and implementation practices improve over time to utilize the new technology, the BP benchmark approaches the new SA.

As noted earlier, the PUE benchmark asymptotically approaches an ideal value of 1. The unit step function makes the Loss Function a one-sided loss function, so-as not to penalize performance exceeding the target value. More comprehensive and sophisticated metrics could be derived, however there is a move internationally to regulate carbon emissions and active trading markets are developing, putting a real value or cost on these emissions.

Equation 4 requires conversion of electrical power consumption to carbon emissions.

While this conversion also varies by region and over time due to the mix of generation sources, this paper uses a conversion based upon the United States national average ENERGY, The U. The desired PUE number by is 1. Equation 3 assumes that there is an economic cost or value that can be assigned to carbon emissions based on a market in Carbon Credits. Converting CO2 emissions to currency values using carbon credit equivalents are subject to location, market pricing and energy usage.

Table 2 illustrates the current variation in carbon credit prices.

The large degree of variation observed in the prices is reflective of lack of standardization in the basic definition of the credit, as well as lack of regulation in the markets. As these markets become more regulated, there will still be variation in value over time, as well as between different economies as they try to meet their international commitments to reduce emissions.

However, within a particular economy, at a point in time, the variation in pricing should be significantly less. The fluctuation in outside air temperature influences cooling demands, which effects energy consumption and introduces variation in the data center PUE. Conversely seasonal e. This predicates a need to do real-time data collection and PUE calculations. The situation of less than ideal power metering locations available at the RIT data center is likely common with older data centers.

Figure 1. This figure shows predictable seasonal fluctuations in current draw, with peak consumption during summer months and high demand periods around the end of the school year..

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The yearly average of power consumption at point 1 is approx. The observed seasonal variation results in a shift in consumption of about 60A or RIT has an inexpensive and unique data center temperature monitoring system using single wire sensor technology and a php web site that provides real-time temperature data. This data can be used as to continuously monitor performance of the HVAC controls, and also look for hot spots that represents high server consumption or ineffective cooling layout.

Heat map of the RIT data center Operating the data center at a higher mean ambient temperature offers opportunities to reduce the energy consumption associated with cooling. However, when increasing the operating temperature, it becomes increasingly important to understand the data center S. Figure 3 below provides an overlay of the data center temperature with the data center current draw, illustrating the variation in these parameters over a one- day period in February of Figure 3.

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Power Statistics from Point 4 in Real Time 3. The data collection systems described above were used for the engineering study. By the mid s, computer use developed commercially and was shared by multiple parties. The system processed 84, telephone calls per day.

Cloud Data Center Architecture Guide

Computer memory slowly moved away from magnetic core devices to solid-state static and dynamic semiconductor memory, which greatly reduced the cost, size and power consumption of computing devices. Datacenters in the US began documenting formal disaster recovery plans in These functions were batch operations and not complex in nature.

In , the minicomputer Xerox Alto was a landmark step in the development of personal computers because of its graphical user interface, bit-mapped high-resolution screen, large internal and external memory storage, mouse, and special software. It was the simplest, and least expensive type of local area network using token-ring architecture, supporting data rates of 2.


Mainframes required special cooling and in the late s, air-cooled computers moved into offices.As you expand, consolidate, or build your data center, MEP offers project management, installation, and integration services to ensure quick and efficient implementation of your solution.

For sustainability loss, an example would be: if a given data center is not meeting the best practice benchmark in Table 1, the loss in dollars is a function of the extra CO2 produced for the extra power consumed multiplied by the cost of carbon emission credits to offset the additional CO2.

Taguchi, G. This combination of technologies allows the creation of a thermal cascade as part of temperature chaining scenarios to create high temperature water outputs from the data center. The data collection systems described above were used for the engineering study.

Calculations showed that in two years the cost of powering and cooling a server could be equal to the cost of purchasing the server hardware.

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Data center facility energy demands are a function of both the data center design and the operations and control strategies. In this case, sustainability performance S. It also facilitates performing routine maintenance on either physical or virtual systems all while minimizing interruption.

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