James M Stratton

US Patent:

20200249992, Aug 6, 2020

Filed:

Apr 22, 2020

Appl. No.:

16/855719

Inventors:

- Pleasanton CA, US
Teng Qu - Berkeley CA, US
James Michael Stratton - Danville CA, US

International Classification:

G06F 9/50
G06F 16/172

Abstract:

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.

US Patent:

20190243686, Aug 8, 2019

Filed:

Feb 2, 2018

Appl. No.:

15/887879

Inventors:

- Pleasanton CA, US
Teng Qu - Berkeley CA, US
James Michael Stratton - Danville CA, US

International Classification:

G06F 9/50

Abstract:

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.

US Patent:

20190243691, Aug 8, 2019

Filed:

Feb 2, 2018

Appl. No.:

15/887889

Inventors:

- Pleasanton CA, US
Teng Qu - Berkeley CA, US
James Michael Stratton - Danville CA, US
Xiaoqun Joyce Duan - San Francisco CA, US
Alex James Boyd - Longview WA, US

International Classification:

G06F 9/50
H04L 12/911
H04L 12/26
G06N 3/04

Abstract:

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.