Kent E Mitchell

US Patent:

20130159493, Jun 20, 2013

Filed:

Dec 14, 2011

Appl. No.:

13/325883

Inventors:

Kent Mitchell - Denver CO, US
Jason Heintz - Centennial CO, US
Hollie McCurdy - Seattle WA, US
Carroll Moon - Alta Vista VA, US
Mark Miller - Flower Mound TX, US
Brian Feck - Charlotte NC, US
Lou Nikodym - Golden CO, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06F 15/173

US Classification:

709224

Abstract:

An application provides server performance decision support to end-users. The application monitors the transaction data of servers. The transaction data includes network communications as well as server specific information such as resource utilization. The application captures a sample of the transaction data. The captured sample can be random or predetermined. The sample is limited in length according to a preset time value. The application analyzes the sample to determine performance metrics for the server. The application presents the performance metrics within a business intelligence data structure to enable an end-user to data mine the performance metrics according to additional variables.

US Patent:

20130159529, Jun 20, 2013

Filed:

Dec 16, 2011

Appl. No.:

13/328170

Inventors:

Kent Mitchell - Denver CO, US
Jason Heintz - Centennial CO, US
Hollie McCurdy - Mountlake Terrace WA, US
Carroll Moon - Alta Vista WA, US
Mark Miller - Flower Mound TX, US
Brian Feck - Charlotte NC, US
Lou Nikodym - Golden CO, US
Vadi Ramalingam - Bellevue WA, US

Assignee:

Microsoft Corporation - Redmond WA

International Classification:

G06F 15/173

US Classification:

709226

Abstract:

An application provides cloud computing master data management. The application determines a rank associated with received server information from a server. The source rank is adjusted according to evaluation of server information against naming convention standards. The source rank is used in determining a category matching the server information. An assigned category includes instructions to configure assets of a server. The application assembles configuration information from the assigned category and provides the configuration information to the server.

US Patent:

20230081124, Mar 16, 2023

Filed:

Nov 22, 2022

Appl. No.:

18/057803

Inventors:

- The Woodlands TX, US
Kendall M. Hurst - Owasso OK, US
Eric D. Schwerdtfeger - Bartlesville OK, US
Steven M. Bischof - Humble TX, US
Jared Fern - Kingwood TX, US
Kent E. Mitchell - Bartlesville OK, US
James Hillier - Kingwood TX, US

International Classification:

C07C 2/32
B01J 8/10
B01J 8/18

Abstract:

Methods for determining ethylene concentration in an ethylene oligomerization reactor using an ultrasonic flow meter are described, and these methods are integrated into ethylene oligomerization processes and related oligomerization reactor systems.

US Patent:

20190391854, Dec 26, 2019

Filed:

Jul 3, 2019

Appl. No.:

16/502153

Inventors:

- Redmond WA, US
Kent D. MITCHELL - Denver CO, US
Pei LI - Sammamish WA, US
Venkata Ratnam SARIPALLI - Folsom CA, US

International Classification:

G06F 9/50
G06N 7/00
G06Q 10/06

Abstract:

A tenant model models workload usage of tenants, based upon a set of tenant attributes. The model is applied to a set of tenants waiting to be on-boarded to a workload to identify a metric indicative of likely tenant usage of the workload. A subset, of the set of tenants, are identified for on-boarding, based upon the metric, and on-boarding functionality is controlled to the identified subset of tenants.

US Patent:

20180365077, Dec 20, 2018

Filed:

Jun 15, 2017

Appl. No.:

15/624251

Inventors:

- Redmond WA, US
Kent D. Mitchell - Denver CO, US
Pei Li - Sammamish WA, US
Venkata Ratnam Saripalli - Folsom CA, US

International Classification:

G06F 9/50
G06N 7/00

Abstract:

A tenant model models workload usage of tenants, based upon a set of tenant attributes. The model is applied to a set of tenants waiting to be on-boarded to a workload to identify a metric indicative of likely tenant usage of the workload. A subset, of the set of tenants, are identified for on-boarding, based upon the metric, and on-boarding functionality is controlled to the identified subset of tenants.