Workday, Inc.

Montiago Xavier LaBute

Teng Qu

James Michael Stratton

Shane Clifford

Arina Bobrova

Chris Lee

Alex James Boyd

Xiaoqun Joyce Duan

A system comprises an interface configured to receive an identifier, a processor configured to determine a grouping associated with the identifier, wherein the grouping is determined using a first clustering, wherein the first clustering is based at least in part on a language processing system, determine a sub-grouping of the grouping associated with the identifier, wherein the sub-grouping is determined using a second clustering, determine a final identifier based at least in part on the identifier and the sub-grouping, determine a resource based at least in part on the final identifier, and store the final identifier associated with the resource, and a memory coupled to the processor and configured to provide the processor with instructions.

Resource selection determination using natural language processing based tiered clustering

A system for provisioning resources includes a processor and a memory. The processor is configured to receive a time series of past usage data. The past usage data comprises process usage data and instance usage data. The processor is further configured to determine an upcoming usage data based at least in part on the time series of the past usage data, and provision a computing system according to the upcoming usage data.

Resource usage prediction for cluster provisioning

A system for automatically scaling provisioned resources includes an input interface and a processor. The input interface is configured to receive an estimate of a required number of processing threads. The processor is configured to determine required resources for processing the required number of processing threads using a model; provision the required resources; indicate to execute client tasks using the provisioned resources; determine server telemetry or logging data for the provisioned resources; provide the server telemetry or the logging data to the model; determine a resource utilization score based at least in part on the server telemetry or the logging data; determine a provisioning performance reward based at least in part on the resource utilization score; and adjust model parameters using the provisioning performance reward.

Predictive model-based intelligent system for automatically scaling and managing provisioned computing resources

A system for provisioning resources includes an input interface and a processor. The input interface is configured to receive a time series of past usage data. The past usage data comprises process usage data and instance usage data. The processor is configured to determine an upcoming usage data based at least in part on the time series of the past usage data, and provision a computing system according to the upcoming usage data.

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Oakley, CA, United States of America

Montiago Xavier LaBute