Scalable framework for monitoring and managing network devices

US9397906B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-9397906-B2
Application numberUS-201414472928-A
CountryUS
Kind codeB2
Filing dateAug 29, 2014
Priority dateAug 29, 2014
Publication dateJul 19, 2016
Grant dateJul 19, 2016

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

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Abstract

Official abstract text for this publication.

A device receives information associated with network devices of a network, such as device information associated with components of the network devices, application information generated by the network devices, or network information associated with interactions of the network devices. The device performs an analysis of the information associated with the network devices via analytics techniques in near real time, and generates analysis information based on the analysis of the information associated with the network devices. The device provides the analysis information for display.

First claim

Opening claim text (preview).

What is claimed is: 1. A method, comprising: receiving, by a device, information associated with network devices of a network, the information associated with the network devices including one or more of: device information associated with components of the network devices, application information generated by the network devices, or network information associated with interactions of the network devices; performing, by the device, an analysis of the information associated with the network devices via one or more analytics techniques in near real time; generating, by the device, analysis information based on the analysis of the information associated with the network devices, the analysis information including information associated with one or more network devices, of the network devices, identified as being anomalous based on the information associated with the network devices; and providing, by the device, the analysis information for display. 2. The method of claim 1 , further comprising: providing one or more notifications associated with the analysis information to one or more devices associated with a service provider associated with the network devices. 3. The method of claim 2 , where the one or more notifications include information associated with one or more network devices, of the network devices, identified as being anomalous based on the analysis of the information associated with the network devices. 4. The method of claim 1 , where the network information includes one or more of: information associated with usage of the network devices, information associated with connectivity of the network devices, or information associated with provisioning of the network devices. 5. The method of claim 1 , where the one or more analytics techniques include one or more of: an anomaly detection technique to identify one or more anomalous network devices, of the network devices, based on the information associated with the network devices, a trending technique to identify one or more trends for the network devices based on the information associated with the network devices, a prediction technique to predict one or more behaviors of the network devices based on the information associated with the network devices, or a segmentation technique to group one or more network devices, of the network devices, into groups based on the information associated with the network devices. 6. The method of claim 1 , where the analysis information includes one or more of: information associated with one or more anomalies identified in the device information, the application information, or the network information, information associated with one or more trends identified in the device information, the application information, or the network information, information associated with one or more comparisons of the device information, the application information, or the network information, associated with the network devices, and device information, application information, or network information associated with other network devices, or information associated with one or more predictions determined based on the device information, the application information, or the network information. 7. The method of claim 1 , where providing the analysis information for display further comprises: generating a dashboard user interface that includes the analysis information; and providing the dashboard user interface for display. 8. A device, comprising: one or more processors to: receive information associated with a plurality of network devices of a network, the information associated with the plurality of network devices including one or more of: device information associated with components of the plurality of network devices, application information generated by the plurality of network devices, or network information associated with interactions of the plurality of network devices; perform an analysis of the information associated with the plurality of network devices via one or more analytics techniques in near real time; generate analysis information based on the analysis of the information associated with the plurality of network devices, the analysis information including information associated with one or more network devices, of the plurality of network devices, identified as being anomalous based on the information associated with the plurality of network devices; store the analysis information; and provide the analysis information for display. 9. The device of claim 8 , where the one or more processors are further to: provide at least one notification associated with the analysis information to at least one other device, associated with a service provider associated with the plurality of network devices, via an email message, a text message, a voicemail message, or a voice call. 10. The device of claim 9 , where the at least one notification includes information associated with one or more network devices, of the plurality of network devices, identified as being anomalous based on the analysis of the information associated with the plurality of network devices. 11. The device of claim 8 , where the network information includes one or more of: information associated with usage of the plurality of network devices, information associated with connectivity of the plurality of network devices, or information associated with provisioning of the plurality of network devices. 12. The device of claim 8 , where the one or more analytics techniques include one or more of: an anomaly detection technique to identify one or more anomalous network devices, of the plurality of network devices, based on the information associated with the plurality of network devices, a trending technique to identify one or more trends for the plurality of network devices based on the information associated with the plurality of network devices, a prediction technique to predict one or more behaviors of the plurality of network devices based on the information associated with the plurality of network devices, or a segmentation technique to group one or more network devices, of the plurality of network devices, into groups based on the information associated with the plurality of network devices. 13. The device of claim 8 , where the analysis information includes one or more of: information associated with one or more anomalies identified in the device information, the application information, or the network information, information associated with one or more trends identified in the device information, the application information, or the network information, information associated with one or more comparisons of the device information, the application information, or the network information, associated with the plurality of network devices, and device information, application information, or network information associated with other network devices, or information associated with one or more predictions determined based on the device information, the application information, or the network information. 14. The device of claim 8 , where, when providing the analysis information for display, the one or more processors are further to: generate a dashboard user interface that includes the analysis information, and provide the dashboard user interface for display. 15. A computer-readable medium for storing instructions, the instructions comprising: one or more instructions that, when executed by one or more processors of a device, cause the one or more processors to: receive information ass

Assignees

Inventors

Classifications

  • for prediction of maintenance · CPC title

  • H04L43/065Primary

    related to network devices · CPC title

  • for graphical visualisation of monitoring data · CPC title

  • for predicting network behaviour · CPC title

  • Additional information in the notification, e.g. enhancement of specific meta-data · CPC title

Patent family

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Frequently asked questions

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What does patent US9397906B2 cover?
A device receives information associated with network devices of a network, such as device information associated with components of the network devices, application information generated by the network devices, or network information associated with interactions of the network devices. The device performs an analysis of the information associated with the network devices via analytics techniqu…
Who is the assignee on this patent?
Verizon Patent & Licensing Inc
What technology area does this patent fall under?
Primary CPC classification H04L43/065. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Jul 19 2016 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).