Methods, systems, and computer program products for providing intelligent monitoring services

• US 8,849,952 B2
• Filed: 04/10/2013
• Issued: 09/30/2014
• Est. Priority Date: 12/18/2009
• Status: Expired due to Fees

• Current Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Roney, William N., Britton, Christopher N.
• Primary Examiner(s): Nguyen, Tammy
• Assistant Examiner(s): Bui, Jonathan
• Application Number:
  US13/859,805
• Publication Number:
  US 20130227133A1
• Time in Patent Office: 538 Days
• Field of Search: 709/217, 709/224
• US Class Current: 709/217
• CPC Class Codes: G06F 11/0754 by exceeding limits
• CPC Class Codes: G06F 11/076 by exceeding a count or rate limit, e.g. word- or bit count limit
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass
• CPC Class Codes: H04L 43/16 Threshold monitoring

Abstract

Methods, systems, and computer program products for intelligent monitoring services are provided. A method includes sampling data for a subject over a defined time period and calculating a normative value for the defined time period based on the sampled data. The method also includes monitoring incoming data for the subject, comparing a monitored value for the incoming data to the normative value, and generating a responsive action when the monitored value deviates from the normative value.

Claims

1. A method for providing intelligent monitoring services, comprising:

receiving a deviation threshold value via a user interface of an application;

receiving a rate of deviation threshold value via the user interface of the application;

receiving a responsive action via the user interface of the application;

sampling data for a subject over a defined time period, the data sampled via a computer processor;

calculating, via the application executing on the computer processor, a normative value for the defined time period based on the data;

monitoring, via the application, incoming data for the subject;

comparing, via the application, a monitored value for the incoming data to the normative value; and

generating, via the application, the responsive action when the comparing the monitored value to the normative value indicates that the deviation threshold value and rate of deviation threshold value are met.

2. The method of claim 1, further comprising:

receiving data into data fields, the data in the data fields specifying a subject identification of the subject, a type of data subject to the sampling, a time duration comprising the defined time period for sampling, and a data source from which the data is sampled;

wherein sampling the data is performed in response to data in the data fields.

3. The method of claim 1, wherein the deviation threshold value includes:

a ±

percentage value.

4. The method of claim 1, wherein the normative value is calculated using a trend line polynomial equation.

5. The method of claim 1, further comprising:

sampling data for the subject over another defined time period, the data sampled via the computer processor;

recalculating, via the application, the normative value for the other defined time period to provide a recalculated normative value;

monitoring, via the application, other incoming data for the subject;

comparing, via the application, a monitored value for the other incoming data to the recalculated normative value; and

generating, via the application, the responsive action when the monitored value derived from the other incoming data deviates from the recalculated normative value.

6. The method of claim 1, wherein sampling the data includes collecting data across multiple data sources.

7. A system for providing intelligent monitoring services, comprising:

a hardware processor; and

memory comprising computer-executable instructions that, when executed by the processor, cause the processor to execute an application to perform operations comprising;

receiving a deviation threshold value via a user interface of the application;

receiving a rate of deviation threshold value via the user interface of the application;

receiving a responsive action via the user interface of the application;

sampling data for a subject over a defined time period;

calculating a normative value for the defined time period based on the data;

monitoring incoming data for the subject;

comparing a monitored value for the incoming data to the normative value; and

generating the responsive action when the comparing the monitored value to the normative value indicates that the deviation threshold value and the rate of deviation threshold value are met.

8. The system of claim 7, wherein the operations comprise:

receiving data into data fields, the data in the data fields specifying a subject identification of the subject, a type of data subject to the sampling, a time duration comprising the defined time period for sampling, and a data source from which the data is sampled;

wherein sampling the data is performed in response to data in the data fields.

9. The system of claim 7, wherein the deviation threshold value includes:

a ±

percentage value.

10. The system of claim 7, wherein the normative value is calculated using a trend line polynomial equation.

11. The system of claim 7, wherein the operations comprise:

sampling data for the subject over another defined time period;

recalculating the normative value for the other defined time period to provide a recalculated normative value;

monitoring other incoming data for the subject;

comparing a monitored value for the other incoming data to the recalculated normative value; and

generating the responsive action when the monitored value derived from the other incoming data deviates from the recalculated normative value.

12. A computer program product for providing intelligent monitoring services, the computer program product comprising a non-transitory storage medium including machine-readable program code, which when executed by a computer processor causes the computer processor to implement operations comprising:

receiving a deviation threshold value via a user interface of an application;

receiving a rate of deviation threshold value via the user interface of the application;

receiving a responsive action via the user interface of the application;

sampling data for a subject over a defined time period;

calculating a normative value for the defined time period based on the data;

monitoring incoming data for the subject;

comparing a monitored value for the incoming data to the normative value; and

generating the responsive action when the comparing the monitored value to the normative value indicates that the deviation threshold value and the rate of deviation threshold value are met.

13. The computer program product of claim 12, wherein the operations comprise:

receiving data into data fields, the data in the data fields specifying a subject identification of the subject, a type of data subject to the sampling, a time duration comprising the defined time period for sampling, and a data source from which the data is sampled;

wherein sampling the data is performed in response to data in the data fields.

14. The computer program product of claim 12, wherein the deviation threshold value includes:

a ±

percentage value.

15. The computer program product of claim 12, wherein the normative value is calculated using a trend line polynomial equation.

16. The computer program product of claim 12, wherein the operations comprise:

sampling data for the subject over another defined time period;

recalculating the normative value for the other defined time period to provide a recalculated normative value;

monitoring other incoming data for the subject;

comparing a monitored value for the other incoming data to the recalculated normative value; and

generating the responsive action when the monitored value derived from the other incoming data deviates from the recalculated normative value.

17. The computer program product of claim 12, wherein sampling the data includes collecting data across multiple data sources.