Microsoft Technology Licensing, LLC

Mark Steven Schnitzer

Neelakantan Sundaresan

Arun Ramanathan Chandrasekhar

Yijin Wei

Yiping Dou

Tanmayee Prakash Kamath

Claude Remillard

Balan Subramanian

A cloud resource management system trains, through ensemble learning, multiple time series forecasting models to forecast a future idle time of a virtual machine operating on a cloud computing service. The models are trained on historical usage and metric data of the virtual machine. The metric data includes CPU usage, disk usage and network usage. A select one of the models having the best accuracy for a target virtual machine is used in a production run to predict when the virtual machine will be idle. At this time, the virtual machine may be automatically shutdown in order to reduce the expense associated with the continued operation of the virtual machine.

Cloud resource management using machine learning

Growing community of inventors

Kirkland, WA, United States of America

Mark Steven Schnitzer