The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 06, 2019

Filed:

Dec. 08, 2017
Applicant:

Sas Institute Inc., Cary, NC (US);

Inventors:

Michele Angelo Trovero, Cary, NC (US);

Byron Davis Biggs, Cary, NC (US);

Jennifer Leigh Sloan Beeman, Cary, NC (US);

Michael James Leonard, Cary, NC (US);

Assignee:

SAS INSTITUTE INC., Cary, NC (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/28 (2019.01); G06F 16/215 (2019.01); G05B 13/02 (2006.01); H04L 29/06 (2006.01); H04L 29/14 (2006.01); H04W 40/00 (2009.01);
U.S. Cl.
CPC ...
G06F 16/285 (2019.01); G05B 13/0265 (2013.01); G06F 16/215 (2019.01); G06F 16/288 (2019.01); H04L 69/28 (2013.01); H04L 69/40 (2013.01);
Abstract

The operation of a machine can be controlled by performing reconciliation using a cluster of nodes. In one example, a node can receive parent timestamped data from a parent dataset and child timestamped data from child datasets that are children of the parent dataset in a hierarchical relationship. The parent timestamped data and the child timestamped data can relate to an operational characteristic of the machine. The node can generate computer processing-threads. Each computer processing-thread can solve one or more respective reconciliation problems between a parent data point that has a particular timestamp in the parent timestamped data and child data points that also have the particular timestamp in the child timestamp data to generate a reconciled dataset. An operational setting of the machine can then be adjusted based on the reconciled dataset.


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