Microsoft deployed a new technique for quickly sorting large amounts of data, called Flat Datacenter Storage, in order to beat a record set by Yahoo in 2009.
The researchers will discuss their work at an Association for Computing Machinery conference dedicated to databases this week in Scottsdale, Arizona. They are also implanting their data-sorting techniques in Microsoft's Bing search engine, where it could boost response times to user queries.
"Improving Big Data performance has a wide range of implications across a huge number of businesses," said Microsoft Research project leader Jeremy Elson. "Almost any Big Data problem now becomes more efficient, which, in many cases, will be the difference between the work being economically feasible or not."
In tests conducted under the MinuteSort benchmark, the system set up by Elson and his colleagues was able to sort 1,401GB of data in a minute, which beat Yahoo's previous record of 500GB in the same time. Microsoft also boasted of sorting the data using fewer resources: The system used 1,033 disks in 250 machines while Yahoo required 5,624 disks across 1,406 machines to complete their operation.
FDS starts with a similar approach as Google's MapReduce - as it is implemented in Apache Hadoop - by moving the computational sorting to each individual data server. Unlike Hadoop, however, every server trades information with all the other server in the sorting cluster. The researchers used an additional Microsoft networking technology, called full bisection bandwidth networks, to boost the bandwidth, allowing each computer to both send a receive send up to 2GB per second.