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ata Center Knowledge

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While there is much discussion and theorizing about data center efficiency, some individuals in the industry are focused on driving efficiency on a daily basis. We reached out to Clemens Pfeiffer, CTO of Power Assure and a 25-year veteran of the software industry, for a Q&A about his thoughts on achieving data center efficiency.

Data Center Knowledge: Traditionally, data center developers designed for reliability, sometimes at the cost of efficiency. Is that still the case?

Clemens Pfeiffer: Yes, this is still the case – reliability is the number one priority. If applications fail, people lose jobs. Power savings are not a strong enough argument for increased risk and the perception today, right or wrong with battery such as Hp Pavilion dv2000 battery (Hp dv2000 battery ), Hp HSTNN-LB31 battery , Hp EV088AA battery , Hp 417066-001 battery , Hp F4486B battery , Hp CGR-B1870AE battery , Hp Pavilion ZD7000 battery , Hp PP2182D battery , Hp PP2182L battery , is that efficiency improvements decrease reliability. Unless we can demonstrate that reliability AND efficiency improvements can go hand in hand – which they do when done properly – this won’t change. Fortunately some data centers understand this and are starting to change, but it’s certainly not common.

Data Center Knowledge: When a data center operator focuses on efficiency, where are the largest potential cost savings? What are the top costs in running a data center?

PowerAssureClemens Pfeiffer: This depends. In traditional data centers, there are multiple steps for savings. To give you an idea, a PUE of 1.8 (average today) means that about 40% of the power goes to cooling. So reducing the PUE or making cooling more efficient can give you 20 percent savings, easily. After you are done you have more power available for IT, which everyone uses for more capacity. Now the next biggest savings opportunity is on more efficient servers, power management of standby systems, increasing utilization of running servers and turning off spare capacity only used during peak demand. This gives you another 40 to 60 percent savings. So it’s a question of the level of efficiency data centers have implemented that determines a path forward. We have a multi-step improvement process that starts with an assessment of the current situation, looks for improvement opportunities in cooling, power distribution, IT equipment, software, operating procedures and energy contracts, all of which can lead to huge savings. But it requires a detailed study of the current situation to produce a detailed ROI-based recommendation. Without it, it’s too generic to be all that useful.

Data Center Knowledge: What are the most effective ways to reduce energy usage and achieve efficiencies?

Clemens Pfeiffer: Reduce PUE (meaning cooling overhead), buying more efficient equipment, virtualization, automated failover procedures and including on/off capabilities in the process are the ones with the best ROI. There are more, but as I said earlier, this requires a study of the existing setup to determine what’s possible, what has a great ROI and define a roadmap of what to do.

Data Center Knowledge: One of Power Assure’s recommendations for improving efficiency is eliminating transfer switches. What are the pros and cons of this strategy?