Microsoft Technology Licensing, LLC

Christopher Cowdery

Thomas Moscibroda

Yong Xu

Qingwei Lin

Karthikeyan Subramanian

John Lawrence Miller

Si Qin

Shandan Zhou

Eli Cortez

Shanti Kemburu

The present disclosure relates to systems, methods, and computer readable media for predicting deployment growth on one or more node clusters and selectively permitting deployment requests on a per cluster basis. For example, systems disclosed herein may apply tenant growth prediction system trained to output a deployment growth classification indicative of a predicted growth of deployments on a node cluster. The system disclosed herein may further utilize the deployment growth classification to determine whether a deployment request may be permitted while maintaining a sufficiently sized capacity buffer to avoid deployment failures for existing deployments previously implemented on the node cluster. By selectively permitting or denying deployments based on a variety of factors, the systems described herein can more efficiently utilize cluster resources on a per-cluster basis without causing a significant increase in deployment failures for existing customers.

Allocating cloud resources in accordance with predicted deployment growth

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Redmond, WA, United States of America

Christopher Cowdery