Configuration management for a shared pool of configurable computing resources

• US 10,169,086 B2
• Filed: 09/13/2015
• Issued: 01/01/2019
• Est. Priority Date: 09/13/2015
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Cropper, Joseph W., Tenner, Jeffrey W.
• Primary Examiner(s): Puente, Emerson C
• Assistant Examiner(s): Labud, Jonathan R
• Application Number:
  US14/852,595
• Publication Number:
  US 20170075727A1
• Time in Patent Office: 1,206 Days
• CPC Class Codes: G06F 9/4881 Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
• CPC Class Codes: G06F 9/5011 the resources being hardware resources other than CPUs, Servers and Terminals
• CPC Class Codes: G06F 9/5083 Techniques for rebalancing the load in a distributed system
• CPC Class Codes: G06F 9/542 Event management; Broadcasting; Multicasting; Notifications

Abstract

Disclosed aspects manage a shared pool of configurable computing resources. A set of scaling factor data is monitored. The set of scaling factor data is related to a workload on a configuration of the shared pool of configurable computing resources. A set of workload resource data associated with the workload is ascertained. Using the set of scaling factor data and the set of workload resource data, a triggering event is detected. In response to detecting the triggering event, a configuration action (with respect to the configuration of the shared pool of configurable computing resources) is performed.

Claims

1. A computer-implemented method of managing a shared pool of configurable computing resources, the method comprising:

collecting a set of scaling factor data related to an active workload on a configuration of the shared pool of configurable computing resources, wherein the set of scaling factor data includes an actual number of transactions per time period being processed;

ascertaining a set of workload resource data associated with the active workload, wherein the set of workload resource data includes a hardware configuration template specifying a processor requirement and a memory requirement for an expected number of transactions per time period to be processed;

computing, by subtracting the actual number of transactions per time period from the expected number of transactions per time period, a transaction per time period difference value;

comparing the transaction per time period difference value to a transaction per time period difference threshold to determine whether the transaction per time period difference value exceeds the transaction per time period difference threshold;

detecting, in response to a determination that the transaction per time period difference value exceeds the transaction per time period difference threshold, a triggering event; and

performing, in response to detecting the triggering event, a configuration action with respect to the configuration of the shared pool of configurable computing resources, wherein the configuration action includes;

reconfiguring the configuration of the shared pool of configurable computing resources.

2. The method of claim 1, further comprising:

waiting, in response to collecting the set of scaling factor data related to the active workload, for a temporal period; and

collecting, in response to waiting for the temporal period, the set of scaling factor data related to the active workload.

3. The method of claim 1, wherein the set of scaling factor data related to the active workload is collected in response to a usage event.

4. The method of claim 3, wherein the usage event includes a usage change exceeding a threshold with respect to the set of scaling factor data related to the active workload on the configuration of the shared pool of configurable computing resources.

5. The method of claim 1, wherein the set of scaling factor data is selected from a group consisting of:

a set of transaction processing scaling factor data

a set of user access scaling factor data,

a set of entity storage scaling factor data,

a set of product usage scaling factor data, and

a set of provider-defined scaling factor data which indicates one or more target scaling goals for the active workload.

6. The method of claim 1, wherein the configuration is selected from a group consisting of:

a configuration of a set of processing resources,

a configuration of a set of memory resources,

a configuration of a set of disk resources, and

a configuration of a set of virtual machines.

7. The method of claim 1, wherein detecting, using the set of scaling factor data and the set of workload resource data, the triggering event includes:

identifying a trend in the set of scaling factor data.

8. The method of claim 1, wherein ascertaining the set of workload resource data associated with the active workload includes:

retrieving, from a registry, the set of workload resource data indicated by a workload provider, wherein the set of workload resource data includes a configuration template for resource configurations.

9. The method of claim 8, further comprising:

storing the configuration template as a flavor having a processing component and a memory component;

storing, a first mapping of the flavor to a range of expected users;

storing, a second mapping of the flavor to a range of expected transactions; and

coupling the flavor mapped with the range of expected users and range of expected transactions with a workload identifier.

10. The method of claim 9, wherein the workload identifier indicates:

a required storage attachment technology,

a number of paths to storage for redundancy and throughput, and

a number of Input/Output Operations Per Second (IOPS).

11. The method of claim 1, wherein collecting the set of scaling factor data related to the active workload includes:

retrieving, using a pull technique, the set of scaling factor data from an online workload in real-time while the online workload is operating.

12. The method of claim 1, wherein the configuration action includes:

waiting for a temporal period; and

reconfiguring, in response to waiting for the temporal period, the configuration of the shared pool of configurable computing resources.

13. The method of claim 1, further comprising:

resizing, to reconfigure the configuration of the shared pool of configurable computing resources, one or more virtual machines.

14. The method of claim 13, further comprising:

monitoring, to monitor the set of scaling factor data related to the active workload on the configuration of the shared pool of configurable computing resources, the set of user access scaling factor data; and

detecting, using the set of user access scaling factor data, the triggering event.

15. The method of claim 13, further comprising:

monitoring, to monitor the set of scaling factor data related to the active workload on the configuration of the shared pool of configurable computing resources, the set of entity storage scaling factor data; and

detecting, using the set of entity storage scaling factor data, the triggering event.

16. The method of claim 13, further comprising:

monitoring, to monitor the set of scaling factor data related to the active workload on the configuration of the shared pool of configurable computing resources, a set of product usage scaling factor data, wherein the set of product usage scaling factor data includes a number of entities being accessed relating to the active workload; and

detecting, using the set of product usage scaling factor data, the triggering event.

17. The method of claim 13, further comprising:

monitoring, to monitor the set of scaling factor data related to the active workload on the configuration of the shared pool of configurable computing resources, a set of provider-defined scaling factor data; and

detecting, using the set of provider-defined scaling factor data, the triggering event.

18. The method of claim 1, wherein the set of scaling factor data is collected in response to an authorization using an authentication key.