US Patent Application 18355033. PREDICTING EXPANSION FAILURES AND DEFRAGMENTING CLUSTER RESOURCES simplified abstract

PREDICTING EXPANSION FAILURES AND DEFRAGMENTING CLUSTER RESOURCES

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Shandan Zhou of Kenmore WA (US)

Saurabh Agarwal of Redmond WA (US)

Karthikeyan Subramanian of Redmond WA (US)

Thomas Moscibroda of Bellevue WA (US)

Paul Naveen Selvaraj of Bothell WA (US)

Sandeep Ramji of Sammamish WA (US)

Sorin Iftimie of Sammamish WA (US)

Nisarg Sheth of Bothell WA (US)

Wanghai Gu of Woodinville WA (US)

Ajay Mani of Redmond WA (US)

Si Qin of Beijing (CN)

Yong Xu of Beijing (CN)

Qingwei Lin of Beijing (CN)

PREDICTING EXPANSION FAILURES AND DEFRAGMENTING CLUSTER RESOURCES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18355033 titled 'PREDICTING EXPANSION FAILURES AND DEFRAGMENTING CLUSTER RESOURCES

Simplified Explanation

- The patent application is about systems, methods, and computer readable media for predicting expansion failures and implementing defragmentation instructions. - The systems use a failure prediction model to determine the likelihood of deployment failures on a node cluster. - Defragmentation instructions are generated to prevent expansion failures while minimizing negative customer impacts. - The defragmentation instructions are specific to each node cluster, allowing the cloud computing system to minimize expansion failures and increase resource capacity. - The innovation aims to reduce costs and provide reliable services to customers.

Original Abstract Submitted

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.