Google uses self-aware datacenters to cut the cost of searching

Google spits out about 4 million search results per minute (among many other duties), which consumes a lot of energy. According to a recent blog, it cut its electrical bills significantly by applying the same kind of machine learning used in speech recognition and other consumer applications. A data center engineer on a 20 percent project plotted environmental factors like outside air temperature, IT load and other server-related factors. He then developed a neural network that could see the “underlying story” in the data, predicting loads 99.6 percent of the time. With a bit more work, Mountain View managed to eke out significant savings by varying cooling and other factors. It also published a white paper to share the info with other data centers and prove once again that humans are redundant.

Filed under: , ,


Source: Google

Source: Engadget - Read the full article here

Author: Daily Tech Whip

This article is part of our 'News Tiles' service. The site is currently in Beta. When it is fully operational you will be able to search through and arrange the 'Tiles' to display a keyword, product or technology over your chosen time period. For example you would be able to display all of the leading tech articles on the new Kindle Fire, in one spot in real time. You will also have access to our own original reporting and analysis as well as a polished place to post your own thoughts & reviews here, amongst the Daily Tech Whip Community. Please let us know if you have any feedback via the contact form or via Twitter. Don't forget to come back next week and see our full site and claim your name and your own free tech blog.

Share This Post On