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:
Sep. 24, 2019

Filed:

Dec. 28, 2016
Applicant:

Ca, Inc., New York, NY (US);

Inventors:

Jaume Ferrarons Llagostera, Barcelona, ES;

David Solans Noguero, Barcelona, ES;

David Sanchez Charles, Barcelona, ES;

Alberto Huelamo Segura, Barcelona, ES;

Marc Sole Simo, Barcelona, ES;

Victor Muntes Mulero, Barcelona, ES;

Assignee:

CA, Inc., New York, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/00 (2019.01); G06F 16/28 (2019.01); G06N 7/00 (2006.01); G06F 16/901 (2019.01); G06F 16/2457 (2019.01); G06F 16/35 (2019.01);
U.S. Cl.
CPC ...
G06F 16/288 (2019.01); G06F 16/24578 (2019.01); G06F 16/353 (2019.01); G06F 16/9024 (2019.01); G06N 7/005 (2013.01);
Abstract

In a datacenter setting, a summary of differences and similarities between two or more states of the same or similar systems are predicted. Initially, a Long Short-Term Memory (LSTM) neural network is trained with to predict a summary describing the state change between at least two states of the datacenter. Given a set of training data (at least two datacenter states that are annotated with a state change description), the LSTM neural network learns which similarities and differences between the datacenter states correspond to the annotations. Accordingly, given a set of test data comprising at least two states of a datacenter represented by context graphs that indicate a plurality of relationships among a plurality of nodes corresponding to components of a datacenter, the LSTM neural network is able to determine a state change description that summarizes the differences and similarities between the at least two states of the datacenter.


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