Identifying likely faulty components in a distributed system

Patent metadata

Field	Value
Publication number	US-9064216-B2
Application number	US-201313842909-A
Country	US
Kind code	B2
Filing date	Mar 15, 2013
Priority date	Jun 6, 2012
Publication date	Jun 23, 2015
Grant date	Jun 23, 2015

Abstract

In general, techniques are described for automatically identifying likely faulty components in massively distributed complex systems. In some examples, snapshots of component parameters are automatically repeatedly fed to a pre-trained classifier and the classifier indicates whether each received snapshot is likely to belong to a fault and failure class or to a non-fault/failure class. Components whose snapshots indicate a high likelihood of fault or failure are investigated, restarted or taken off line as a pre-emptive measure. The techniques may be applied in a massively distributed complex system such as a data center.

First claim

What is claimed is:

1. A method of predicting component failure, the method comprising:
receiving, by a communication protocol and with a virtual network controller that includes an analytics plane to analyze operations of a plurality of components in one or more virtual networks, a first parameter set from each of the components, wherein a parameter set from a component includes one or more quantitative parameters that each describes a state of the component;
receiving, by the…

Assignees

• Juniper Networks Inc

Inventors

• Reddy Rajeshekar
• Nakil Harshad Bhaskar

Classifications

• H04L41/40

  Electricity · mapped topic

• H04L41/147

  Electricity · mapped topic

• H04L43/20

  Electricity · mapped topic

• H04L41/122

  Electricity · mapped topic

• H04L41/0631

  Electricity · mapped topic