The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 12, 2026
Filed:
Jan. 10, 2023
Microsoft Technology Licensing, Llc, Redmond, WA (US);
Yiwen Zhu, Bellevue, WA (US);
Alex Yeo, Redmond, WA (US);
Harsha Nihanth Nagulapalli, Redmond, WA (US);
Sumeet Khushalani, Kenmore, WA (US);
Arijit Tarafdar, Sammamish, WA (US);
Subramaniam Venkatraman Krishnan, Santa Clara, CA (US);
Deepak Ravikumar, West Lafayette, IN (US);
Andrew Francis Fogarty, New York, NY (US);
Steve D Suh, Woodinville, WA (US);
Yoonjae Park, Redmond, WA (US);
Niharika Dutta, Redmond, WA (US);
Santhosh Kumar Ravindran, Redmond, WA (US);
Microsoft Technology Licensing, LLC, Redmond, WA (US);
Abstract
The present application relates to a network, apparatus, and method for allocating clusters of computing nodes for programming jobs. A network includes a plurality of datacenters including computing resources configurable to instantiate nodes for executing programming jobs on a cluster. The computing resources at one of the datacenters are configured to: provision a live pool including a number of clusters, each cluster in the live pool including a plurality of nodes imaged with a configuration for executing the programming jobs in parallel on the cluster; receive a request from a user to execute a programming job; allocate a cluster from the live pool to the user for the programming job when the cluster is available; evict the cluster from the live pool; and provision a new cluster within the live pool to meet the number of clusters. The number of clusters may be optimized based on linear programming and machine-learning.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile