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Case: Google Data Center Efficiency Best Practices

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Case: Google Data Center Efficiency Best Practices

1. What is PUE, and why is it an important place to start when considering how to reduce data center power consumption? What value of PUE should data center managers strive for?

2. Describe the five methods recommended by Google for reducing power consumption.

3. How much of the world’s global greenhouse gases are the result of computing? List several factors that will tend to retard or accelerate data center power consumption both globally and in the United States.

4. Where do you suspect that data-center power consumption will be greatest: developing and emerging economies or already developed economies? Why?

5. Imagine that a company has developed an advanced technology that allows it to reduce its data-center requirements by an unprecedented amount, and creates a competitive

Power usage efficiency (PUE) is a form of measuring how efficient a data center is in using energy. PUE can be determined by a ratio of amount of power entering the data center by the amount of power used to run the computer equipment (PUE = Total Facility Energy/IT Equipment Energy). PUE provides the tool to measure how effective a data center is in utilizing energy to cool its computers equipment. Data center managers strive for a PEU of 1.0. As the PUE increases over 1.0 the less efficient the data center is in using energy to cool its computer equipment which could be very costly for the company since its overhead cost will rise. According to Kevin Dolder, PE senior data center manager of google, a typical data center in 2006 used a PUE of 2.0. For a data center is extremely important to reduce the data center power consumption because it will reduce overhead cost which could be significant for a company that is looking to lower operation cost.
Similarity, Google is looking to reduce its overhead cost; therefore,

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