Device level performance monitoring and analysis

• US 9,053,135 B2
• Filed: 12/13/2007
• Issued: 06/09/2015
• Est. Priority Date: 12/13/2007
• Status: Active Grant

• Current Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Original Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Inventors: Curry, Stephen M.
• Primary Examiner(s): Mejia, Anthony
• Application Number:
  US11/955,771
• Publication Number:
  US 20090157674A1
• Time in Patent Office: 2,735 Days
• Field of Search: 709/204, 709220-229, 709/246, 709/200, 370/270, 370/465, 370/477, 370351-358, 370/408, 370/60, 348211-215, 348/207, 705 1- 5, 725 34- 45, 725 80-101
• US Class Current: 1/1
• CPC Class Codes: G06F 16/217 Database tuning G06F16/2282 takes precedence; database performance monitoring G06F11/3409

Abstract

Methods relating to device level performance monitoring and analysis include accessing device data including a listing of network devices, with each network device having a device profile. The methods further include accessing service reports, with each report related to a service issue. A set of devices profiles from the listing of network devices may be identified based on a particular device being associated with a particular service issue. The method further includes determining a set of problem prone device profiles from the set of devices profiles. A system including at least one database and a report processor may be configured to associate device data with service reports, identify service issue trends from service reports, identify at least one at risk device susceptible to future service issues related to service issue trends, and provide preventative support to the identified at least one at risk device.

Claims

1. A method comprising:

accessing device data received from a plurality of devices, the device data including a listing of network devices, each network device having a device profile;

accessing service reports, each report related to a service issue;

identifying a set of problem prone device profiles, each problem prone device profile representing common aspects of at least one network device associated with a particular service issue;

determining, by a processing device, from the listing of network devices, an at risk network device based on a profile of the at risk device matching the common aspects of at least one device profile in the set of problem prone device profiles, wherein the at risk device has not reported the particular service issue;

determining that the device data and the service reports lack a joinable data element;

introducing at least one linking data set; and

determining the associations between devices and service issues based on a comparison between the device data and the service reports using the at least one linking data set.

2. The method of claim 1, further comprising basing the identifying of the set of problem prone device profiles on a sum of the service issues associated with the at least one network device exceeding a threshold level.

3. The method of claim 1, further comprising basing the identifying of the set of problem prone device profiles on a sum of lengths of the service issues associated with a device profile exceeding a threshold level.

4. The method of claim 1, further comprising:

providing preventative support to the at risk network device upon determining the at risk network device as being vulnerable to the service issue.

5. The method of claim 1, further comprising:

providing a listing of device attributes associated with each device having a problem prone device profile;

determining correlations between the device attributes of the listing and the service issue and between the common aspects of the problem prone device profile and the service issue;

determining that a correlation between a particular device attribute of the listing of device attributes and the service issue is greater than any of the correlations between the common aspects of the problem prone device profile and the service issue; and

identifying a set of problem prone device attributes from the listing of device attributes based on the determination that the particular device attribute is related to the service issue.

6. The method of claim 1, further comprising deriving the service reports from service repair requests.

7. A method comprising:

accessing device data received from a plurality of devices, the device data including a device profile for each device and device attribute data including associations between devices and device attributes;

accessing service reports;

associating the device data with the service reports;

identifying a service issue trend based on a common aspect of the device data associated with the service reports, the common aspect including at least one common device attribute shared by at least two of the service reports;

identifying, by a processing device, at least one at risk device susceptible to future service issues based on the service issue trend by determining that the at least one at risk device is also associated with the at least one common device attribute related to the service issue trend, wherein the at least one at risk device has not reported a service report associated with the service issue trend;

providing preventative support to the identified at least one at risk device;

determining that the device data and the service reports lack a joinable data element;

introducing at least one linking data set; and

determining the associations between devices and service issues based on a comparison between the device data and the service reports using the at least one linking data set.

8. The method of claim 7, further comprising:

relating the service issue trend to at least one device profile;

generating a set of problem prone device profiles from the at least one device profile; and

utilizing an association between a problem prone device profile and a device in the identifying at least one at risk device.

9. The method of claim 7, further comprising:

generating a set of problem prone device attributes from the particular device attribute; and

utilizing an association between a problem prone device attribute and a device in the identifying at least one at risk device.

10. The method of claim 7, further comprising basing the identifying service issue trend on a sum of the service reports associated with a device exceeding a threshold level.

11. The method of claim 7, further comprising basing the identifying service issue trend on a sum of the lengths of the service issues associated with a device exceeding a threshold level.

12. The method of claim 7, further comprising deriving the service reports from service repair requests.

13. A system, comprising:

at least one database configured to store service reports, device data, and device attribute data; and

a report processor communicatively coupled to the at least one database, the report processor configured to;

associate the device data with the service reports,

identify a service issue trend based on a common aspect of the device data associated with the service reports, the common aspect including at least one common device attribute shared by a at least two of the service reports,

identify at least one at risk device susceptible to future service issues based on the service issue trend by determining that the at least one at risk device is also associated with the at least one common aspect related to the service issue trend, wherein the at least one at risk device is not known by the report processor to have experienced a particular service issue associated with the service issue trend,

provide preventative support to the identified at least one at risk device;

determining that the device data and the service reports lack a joinable data element;

introducing at least one linking data set; and

determining the associations between devices and service issues based on a comparison between the device data and the service reports using the at least one linking data set.

14. The system of claim 13, wherein the service issue trend is related to problem prone device profiles and the at least one at risk device is identified based on an association between a problem prone device profile and a device.

15. The system of claim 13, wherein the service issue trend is related to problem prone device attributes and at least one at risk device is identified based on an association between at least one problem prone device attribute and a device.

16. The system of claim 13, wherein the service issue trend is based on a sum of the service reports associated with a device exceeding a threshold level.

17. The system of claim 13, wherein the service reports include a length of a service issue, and wherein the service issue trend is based on a sum of the lengths of the service issues associated with a device exceeding a threshold level.