Microsoft Technology Licensing, LLC

Sandeep Ramji

Thomas Moscibroda

Yong Xu

Ajay Mani

Qingwei Lin

Karthikeyan Subramanian

Shandan Zhou

Si Qin

Saurabh Agarwal

Nisarg Tarakkumar Sheth

Sorin Iftimie

Wanghai Gu

Paul Naveen Selvaraj

The present disclosure relates to systems, methods, and computer readable media for predicting expansion failures and implementing defragmentation instructions based on the predicted expansion failures and other signals. For example, systems disclosed herein may apply a failure prediction model to determine an expansion failure prediction associated with an estimated likelihood that deployment failures will occur on a node cluster. The systems disclosed herein may further generate defragmentation instructions indicating a severity level that a defragmentation engine may execute on a cluster level to prevent expansion failures while minimizing negative customer impacts. By uniquely generating defragmentation instructions for each node cluster, a cloud computing system can minimize expansion failures, increase resource capacity, reduce costs, and provide access to reliable services to customers.

Predicting expansion failures and defragmenting cluster resources

Growing community of inventors

Sammamish, WA, United States of America

Sandeep Ramji