Jeremy M Rodriguez

US Patent:

20130231979, Sep 5, 2013

Filed:

Jul 9, 2012

Appl. No.:

13/544510

Inventors:

Dean Nelson - Saratoga CA, US
Jeremy Rodriguez - Sunnyvale CA, US

Assignee:

eBay Inc. - San Jose CA

International Classification:

G06Q 10/00

US Classification:

705 738

Abstract:

A method and a system for generating one or more service efficiency metrics are provided in this disclosure. According to various exemplary embodiments, a system receives transaction information and power consumption information of an online business. Moreover, the system generates, using one or more processors, a service efficiency metric based on the transaction information and the power consumption information, the service efficiency metric indicating a number of transactions executed via the online business during a specific time period per unit of power consumed in executing the transactions during the specific time period.

US Patent:

20220228951, Jul 21, 2022

Filed:

Jan 19, 2021

Appl. No.:

17/152336

Inventors:

- Santa Clara CA, US
Ali Heydari - Albany CA, US
Jeremy Rodriguez - Santa Cruz CA, US
Uschas Chowdhury - Arlington TX, US

International Classification:

G01M 99/00
H05K 7/20

Abstract:

Systems and methods for evaluating cooling characteristics are disclosed. In at least one embodiment, a thermal test vehicle can be used to simulate a thermal performance of a computing unit.

US Patent:

20160062867, Mar 3, 2016

Filed:

Aug 29, 2014

Appl. No.:

14/472918

Inventors:

Jeremy Rodriguez - Sunnyvale CA, US
Richard Henry Donaldson - San Francisco CA, US
Dean Harold Nelson - Saratoga CA, US
Serena Anne De Vito - San Mateo CA, US
Braden Carter - Soquel CA, US
Christopher Narancic - Queen Creek AZ, US

International Classification:

G06F 11/34
G05B 13/02
G06F 11/30
G06Q 10/10

Abstract:

Techniques for optimizing power and computational density of data centers are described. According to various embodiments, a benchmark test is performed by a computer data center system. Thereafter, transaction information and power consumption information associated with the performance of the benchmark test are accessed. A service efficiency metric value is then generated based on the transaction information and the power consumption information, the service efficiency metric value indicating a number of transactions executed via the computer data center system during a specific time period per unit of power consumed in executing the transactions during the specific time period. The generated service efficiency metric value is then compared to a target threshold value. Thereafter, a performance summary report indicating the generated service efficiency metric value, and indicating a result of the comparison of the generated service efficiency metric value to the target value, is generated.