Michael A Bello

US Patent:

20120239360, Sep 20, 2012

Filed:

Mar 16, 2012

Appl. No.:

13/423126

Inventors:

Michael Bello - Mountain View CA, US

International Classification:

G06F 17/10
G06G 7/58

US Classification:

703 2

Abstract:

A method and system for automatically determining properties of the buffers solutions composed of selected ionic species by a computing system is described. The computing system provides a user interface of ionic species and receives a selection one or more of the species for a solution via the user interface. The computing system automatically calculates one or more properties of the solution and updates the user interface with the calculated one or more properties of the solution.

US Patent:

20220294688, Sep 15, 2022

Filed:

Jun 1, 2022

Appl. No.:

17/805022

Inventors:

- Palo Alto CA, US
Rangaswamy Jagannathan - Sunnyvale CA, US
Michael Bello - Mountain View CA, US
Ricardo A. Negrete - Scotts Valley CA, US
Elizaveta Tavastcherna - San Jose CA, US
Vitoo Suwannakinthorn - San Jose CA, US

Assignee:

Virtual Instruments Worldwide, Inc. - Palo Alto CA

International Classification:

H04L 41/0803
H04L 67/10
H04L 9/40
H04L 41/14

Abstract:

A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services including cloud workload cost.

US Patent:

20210400110, Dec 23, 2021

Filed:

Aug 15, 2021

Appl. No.:

17/402573

Inventors:

- San Jose CA, US
Rangaswamy Jagannathan - San Jose CA, US
Michael Bello - Mountain View CA, US
Ricardo A. Negrete - Scotts Valley CA, US
Elizaveta Tavastcherna - San Jose CA, US
Vitoo Suwannakinthorn - San Jose CA, US

Assignee:

Virtual Instruments Worldwide, Inc. - San Jose CA

International Classification:

H04L 29/08
H04L 12/26

Abstract:

A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services including cloud workload cost.

US Patent:

20200267216, Aug 20, 2020

Filed:

Feb 18, 2020

Appl. No.:

16/794174

Inventors:

- San Jose CA, US
Jagan Jagannathan - San Jose CA, US
Michael Bello - Mountain View CA, US
Ricardo A. Negrete - Scotts Valley CA, US
Elizaveta Tavastcherna - San Jose CA, US
Vitoo Suwannakinthorn - San Jose CA, US

International Classification:

H04L 29/08
H04L 12/26

Abstract:

A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services including cloud workload cost.