The company has made three predictions on cloud migration and VMware ESXi using data science and big data analytics.
CloudPhysics has announced a set of predictions for 2016 based on findings from its Global Data Set. The CloudPhysics Global Data Set contains more than 100 trillion samples of configuration, performance, failure, and event data from companies of all sizes and industries. This anonymized Global Data Set provides collective intelligence and unprecedented insights into user behavior, and the structure and operations of virtualized data centers around the world.
"The CloudPhysics Global Data Set provides tremendous insights into the range of technologies deployed across today's data centers, as well as how they are functioning in practice to support today's enterprise workloads," said Chris Schin, vice president of product management at CloudPhysics. "As we analyze the Global Data Set, we can make data-driven predictions about what will happen in 2016. These are not mere guesses, these are based on observed tendencies across a large set of actual, anonymized data centers."