Allocating cloud resources in accordance with predicted deployment growth

US11652720B2 · kind B2 · utility

Assignee

• MICROSOFT TECHNOLOGY LICENSING, LLC · US

Inventors

• Shandan Zhou · Kenmore, US
• John Miller · Redmond, US
• Christopher Cowdery · Redmond, US
• Thomas Moscibroda · Beijing, CN
• Shanti Kemburu · Sammamish, US
• Yong Xu · Beijing, CN
• Si QIN · Los Angeles, US
• Qingwei Lin · Beijing, CN
• Eli Cortez · Redmond, US
• Karthikeyan Subramanian · Chennai, IN

Key dates

• Filing date: Sep 20, 2019
• Grant date: May 16, 2023
• Expiry date: Feb 13, 2040

Classification

• Technology area (CPC Y): Emerging Cross-Sectional Technologies
• CPC primary: Y02D10/00
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

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.