Rodolfo T Lopez

US Patent:

20220182464, Jun 9, 2022

Filed:

Dec 4, 2020

Appl. No.:

17/111654

Inventors:

- Armonk NY, US
Rodolfo LOPEZ - Austin TX, US
Gandhi SIVAKUMAR - Victoria, AU

International Classification:

H04L 29/08
G06F 8/60
H04L 12/24

Abstract:

Deployment updates in multivendor cloud environments are provided by obtaining, from an administrative user, deployment objectives for a network deployment; identifying currently deployed infrastructure in the network deployment; identifying information sources to provide information for evaluating candidates for additional infrastructure to include in the network deployment to meet the deployment objectives; performing a cognitive computing analysis based on the deployment objectives to identify a configuration of the network deployment that includes the additional infrastructure selected from the candidates provided by the information sources; and providing the administrative user with the configuration.

US Patent:

20210103510, Apr 8, 2021

Filed:

Oct 4, 2019

Appl. No.:

16/593659

Inventors:

- Armonk NY, US
Jose Morales - Leander TX, US
David Green - Austin TX, US
Donna Johnson - Pflugerville TX, US
Rodolfo Lopez - Austin TX, US

International Classification:

G06F 11/22
G06F 1/26
H01R 43/26

Abstract:

System, apparatus, and/or a method for checking hardware components in an information handling system is disclosed that includes selecting a hardware component for testing; supplying power to the hardware component independent from the power supply provided by the information handling system; performing testing on the selected hardware component using power supplied by the independent power supply; determining the success or failure of the testing on the selected hardware component; indicating the result of the testing on the selected hardware component; and if the result of the testing on the selected hardware component is successful indicate the hardware component passed the testing, and if the result of the testing on the selected hardware component is not successful re-seat the hardware component and perform the testing on the selected hardware again.

US Patent:

20200110641, Apr 9, 2020

Filed:

Oct 4, 2018

Appl. No.:

16/152405

Inventors:

- ARMONK NY, US
Chang Chen - Cedar Park TX, US
Rodolfo Lopez - Austin TX, US
Juan G. Rivera - Austin TX, US
Michael R. Reddock - Jersey City NJ, US

International Classification:

G06F 9/50

Abstract:

A sourcing interface enables a particular device communicatively connected on a network to share one or more resources of the particular device with other devices communicatively connected to the network and coordinate task bidding with the other through broadcasting requests on the network. The sourcing interface manages dispatch of a particular task to one or more selected devices, the one or more selected devices selected based on one or more bids received by the particular device that best match a service level of particular request by the particular device, the dispatched task migrated to the one or more selected devices instead of handled by a web service provider. The sourcing interface monitors, at the particular device, for a result of execution of the particular task from the one or more selected devices, the one or more selected devices collecting telemetry data for usage reporting to the web service provider.

US Patent:

20200099544, Mar 26, 2020

Filed:

Sep 24, 2018

Appl. No.:

16/140344

Inventors:

- Armonk NY, US
Rodolfo Lopez - Austin TX, US
Mara Miranda Bautista - Guadalajara, MX

International Classification:

H04L 12/28
G05B 15/02
H04W 4/80
H04W 64/00

Abstract:

A computer-implemented method according to one embodiment includes identifying locations of a plurality of components to be implemented within a site, identifying characteristics of the site, and determining details for each of the plurality of components to be implemented within the site, utilizing the location of the plurality of components and the characteristics of the site.

US Patent:

20190088114, Mar 21, 2019

Filed:

Sep 18, 2017

Appl. No.:

15/707712

Inventors:

- Armonk NY, US
JOHN F. BEHNKEN - Hurley TX, US
LOUIE A. DICKENS - Tucson AZ, US
RODOLFO LOPEZ - AUSTIN TX, US

International Classification:

G08G 1/01
H04W 4/04
G08G 1/00
G08G 1/048
H04W 4/02
G06F 17/30

Abstract:

An apparatus, method, program product, and system are disclosed for cognitive-based incident response. A sensor module captures baseline environment data related to a traffic incident using one or more sensors at a location of the traffic incident. A recommendation module generates and makes available, in real-time, one or more recommendations for responding to the traffic incident using cognitive computing processes based on the baseline environment data, the one or more recommendations comprising precautionary information for managing one or more emergency situations at the traffic incident. An update module continuously captures new environment data for the traffic incident using the one or more sensors, supplements the baseline environment data with the new environment data, and generates and makes available, in real-time, one or more updated recommendations based on the supplemented environment data using the supplemented environment data and the cognitive computing processes.

US Patent:

20190044789, Feb 7, 2019

Filed:

Aug 2, 2017

Appl. No.:

15/667286

Inventors:

- Armonk NY, US
Rodolfo LOPEZ - Austin TX, US
Julio A. MALDONADO - Austin TX, US
Juan G. RIVERA - Austin TX, US
Pedro V. TORRES - Pflugerville TX, US

International Classification:

H04L 12/24
H04L 12/26

Abstract:

Systems and computer program products to perform an operation comprising receiving an indication of a type and a target of a fault to inject in a network, the network comprising a plurality of devices and a plurality of network elements, generating at least a first predicted network map depicting a predicted configuration of the plurality of devices and network elements subsequent to injecting the fault in the network, injecting the fault at the target in the network, generating an actual network map depicting an actual configuration of the plurality of devices and network elements, identifying, based on a comparison of the first predicted network map and the actual network map, at least one difference in the predicted and actual configurations, and outputting for display an indication of the identified at least one difference.

US Patent:

20190044790, Feb 7, 2019

Filed:

Nov 8, 2017

Appl. No.:

15/807107

Inventors:

- Armonk NY, US
Rodolfo LOPEZ - Austin TX, US
Julio A. MALDONADO - Austin TX, US
Juan G. RIVERA - Austin TX, US
Pedro V. TORRES - Pflugerville TX, US

International Classification:

H04L 12/24
H04L 12/26
G06F 11/30

Abstract:

Methods to perform an operation comprising receiving an indication of a type and a target of a fault to inject in a network, the network comprising a plurality of devices and a plurality of network elements, generating at least a first predicted network map depicting a predicted configuration of the plurality of devices and network elements subsequent to injecting the fault in the network, injecting the fault at the target in the network, generating an actual network map depicting an actual configuration of the plurality of devices and network elements, identifying, based on a comparison of the first predicted network map and the actual network map, at least one difference in the predicted and actual configurations, and outputting for display an indication of the identified at least one difference.

US Patent:

20190012149, Jan 10, 2019

Filed:

Jul 7, 2017

Appl. No.:

15/644315

Inventors:

- Armonk NY, US
Emile L. KOWALSKI - Austin TX, US
Rodolfo LOPEZ - Austin TX, US
Julio A. MALDONADO - Austin TX, US

International Classification:

G06F 9/44
G06Q 10/06
G06N 99/00
G10L 15/26
G06F 17/21

Abstract:

Systems, methods, and computer program products to perform an operation comprising identifying a plurality of data sources, receiving input specifying one or more of the plurality of data sources and a set of parameters, wherein the set of parameters comprise at least a product and a due date for the product, generating, based on a machine learning (ML) model and data received from each of the specified one or more data sources, a resource allocation plan for a product specified in the input, wherein the resource allocation plan specifies at to allocate at least one resource to the product, wherein the at least one resource comprises one or more of hardware resources and software resources, and responsive to receiving input accepting the generated resource allocation plan, allocating the at least one resource in the resource allocation plan to develop the product.