Patent · US Active

Network node failure predictive system

US9483338B2 · kind B2 · utility

18Cited by

6References

20Claims

0Family size

Assignee

ACCENTURE GLOBAL SERVICES LIMITED · IE

Inventors

Anuj Bhalla · Lake Hopatcong, US
Madan Kumar Singh · Bengaluru, IN
Christopher Scott Lucas · Denver, US
Ravi Teja · Bengaluru, IN
Sachin Sehgal · Manesar, IN
Mayank Kant · Bengaluru, IN
Sonal Bhutani · Bengaluru, IN

Key dates

Filing date	Nov 7, 2014
Grant date	Nov 1, 2016
Priority date	—
Expiry date	May 7, 2035

Classification

Technology area (CPC H)Electricity
CPC primaryH04L41/40
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

In an example, network node failures may be predicted by extracting performance metrics for the network nodes from a plurality of data sources. A fail condition may be defined for the network nodes and input variables related to the fail condition for the network nodes may then be derived from the extracted performance metrics. A plurality of models may then be trained to predict the fail condition for the network nodes using a training set from the extracted performance metrics with at least one of the identified input variables. Each of the plurality of trained models may be validated using a validation set from the extracted performance metrics and may be rated according to predefined criteria. As a result, a highest rated model of the validated models may be selected to predict the fail condition for the network nodes.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.