Microsoft Technology Licensing, LLC

Christine Bumpous

Daniel M Cheung

Prerana Dharmesh Gambhir

Sharena Pari-Monasch

Sarah Ferraro Stein

Thanh Trung Nguyen

Qiong Zhou

Described herein are supervised machine learning techniques for generating a first machine learned model, which receives, as input, values for a set of utilization metrics for a server computer and generates, as output, a service-specific health score for the server computer, and for generating a second machine learned model, which receives, as input, values for the volume of application traffic directed to a group of server computers hosting the service for each of several prior time periods and generates, as output, an application traffic forecast for the group of server computers, for a future time period.

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Renton, WA, United States of America

Christine Bumpous