Increasing the accuracy of service quality management metrics

• US 9,667,507 B2
• Filed: 11/12/2015
• Issued: 05/30/2017
• Est. Priority Date: 03/31/2014
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Burton, Peter H., Gupta, Manvendra, Nasr, Diaa EIDin M.Y.A., Litani, Helena
• Primary Examiner(s): SHYU, JING-YIH
• Application Number:
  US14/938,911
• Publication Number:
  US 20160065420A1
• Time in Patent Office: 565 Days
• CPC Class Codes: G06F 11/3051 Monitoring arrangements for monitoring the configuration of the computing system or of the computing system component, e.g. monitoring the presence of processing resources, peripherals, I/O links, software programs verification or detection of system hardware configuration G06F11/2247
• CPC Class Codes: G06F 11/3409 for performance assessment
• CPC Class Codes: G06F 2201/875 Monitoring of systems including the internet
• CPC Class Codes: H04L 41/5009 Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF]
• CPC Class Codes: H04L 41/5067 Customer-centric QoS measurements
• CPC Class Codes: H04L 43/08 Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters

Abstract

According to embodiments of the present invention, one or more computer processors determine a source for a performance indicator of a target service element is known. The one or more computer processors select, at run time, a source for the performance indicator that has a least amount of information gaps. The one or more computer processors determine information associated with the performance indicator from the source. The one or more computer processors determine whether the determined information associated with the performance indicator is more current than a quality indicator periodicity value that is associated with the target service element. In response to determining that the determined information associated with the performance indicator is more current than a quality indicator periodicity value that is associated with the target service element, the one or more computer processors selecting the performance indicator.

Claims

1. A computer-implemented method comprising:

prior to runtime, monitoring configured service key performance indicators of service elements in a service model configuration;

selecting, at runtime, a best source for the key performance indicators based, at least in part, upon the monitoring of the configured service key performance indicators;

during runtime, collecting information for the key performance indicators selected from the best source for the key performance indicators wherein the information includes at least one of the following types of information;

a metric collection frequency, a metric collection quality, a source system availability and a target service component;

determining that the information collected for the key performance indicators selected at runtime is more recent than a key quality indicator periodicity value; and

responsive to the determination that the information collected for the key performance indicators is more recent, selecting the key performance indicators last collected.

2. The computer-implemented method of claim 1 further comprising:

dynamically federating of metrics of the information collected for service quality measurement.

3. The computer-implemented method of claim 1 further comprising:

in response to monitoring configured service key performance indicators of service elements in a service model configuration, determining a source for the key performance indicators of target service elements of the service elements.

4. The computer-implemented method of claim 3 wherein the selection of the best source is made in response to the determination of the source.

5. A computer program product comprising a computer readable storage medium having stored thereon:

first program instructions programmed to prior to runtime, monitor configured service key performance indicators of service elements in a service model configuration;

second program instructions programmed to select, at runtime, a best source for the key performance indicators based, at least in part, upon the monitoring of the configured service key performance indicators;

third program instructions programmed to during runtime, collect information for the key performance indicators selected from the best source for the key performance indicators wherein the information includes at least one of the following types of information;

a metric collection frequency, a metric collection quality, a source system availability and a target service component;

fourth program instructions programmed to determine that the information collected for the key performance indicators selected at runtime is more recent than a key quality indicator periodicity value; and

fifth program instructions programmed to responsive to the determination that the information collected for the key performance indicators is more recent, select the key performance indicators last collected.

6. The computer program product of claim 5 wherein the medium has further stored thereon:

sixth program instructions programmed to dynamically federate metrics of the information collected for service quality measurement.

7. The computer program product of claim 5 wherein the medium has further stored thereon:

sixth program instructions programmed to in response to monitoring configured service key performance indicators of service elements in a service model configuration, determine a source for the key performance indicators of target service elements of the service elements.

8. The computer program product of claim 7 wherein the selection of the best source is made in response to the determination of the source.

9. A computer system comprising:

a processor(s) set; and

a computer readable storage medium;

wherein;

the processor set is structured, located, connected and/or programmed to run program instructions stored on the computer readable storage medium; and

the program instructions include;

first program instructions programmed to prior to runtime, monitor configured service key performance indicators of service elements in a service model configuration,

second program instructions programmed to select, at runtime, a best source for the key performance indicators based, at least in part, upon the monitoring of the configured service key performance indicators,

third program instructions programmed to during runtime, collect information for the key performance indicators selected from the best source for the key performance indicators wherein the information includes at least one of the following types of information;

a metric collection frequency, a metric collection quality, a source system availability and a target service component,

fourth program instructions programmed to determine that the information collected for the key performance indicators selected at runtime is more recent than a key quality indicator periodicity value, and

fifth program instructions programmed to responsive to the determination that the information collected for the key performance indicators is more recent, select the key performance indicators last collected.

10. The computer system of claim 9 wherein the medium has further stored thereon:

sixth program instructions programmed to dynamically federate metrics of the information collected for service quality measurement.

11. The computer system of claim 9 wherein the medium has further stored thereon:

sixth program instructions programmed to in response to monitoring configured service key performance indicators of service elements in a service model configuration, determine a source for the key performance indicators of target service elements of the service elements.

12. The computer system of claim 11 wherein the selection of the best source is made in response to the determination of the source.