Managing a shared pool of configurable computing resources using a set of scaling factors and a set of workload resource data

• US 10,140,162 B2
• Filed: 05/18/2017
• Issued: 11/27/2018
• Est. Priority Date: 07/23/2015
• 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): Aquino, Wynuel
• Application Number:
  US15/598,738
• Publication Number:
  US 20170255493A1
• Time in Patent Office: 558 Days
• Field of Search: None
• CPC Class Codes: G06F 2209/5011 Pool
• CPC Class Codes: G06F 9/505 considering the load
• CPC Class Codes: G06F 9/5077 Logical partitioning of resources; Management or configuration of virtualized resources specific details on emulation or internal functioning of virtual machines G06F9/455

Abstract

Disclosed aspects manage a shared pool of configurable computing resources associated with a shared pool manager. The shared pool manager receives a set of scaling factors. The set of scaling factors corresponds to a workload. Using the set of scaling factor values and a set of workload resource data, a configuration is determined. The configuration is established to process the workload. Disclosed aspects manage a shared pool of configurable computing resources associated with a registry. The registry is structured to have a set of workload resource data and associated scaling factors. A set of scaling factor values is detected. The set of scaling factors corresponds to a workload. Based on both the set of workload resource data and the set of scaling factor values, a set of resource attributes is determined to configure the shared pool of configurable computing resources for the workload. The set of resource attributes is communicated.

Claims

1. A method comprising:

allowing providers to register, via a public registry, workload resource requirements for workloads;

receiving, from users of a programmatic interface, a set of scaling factor values corresponding to the workloads, the set of scaling factor values including a number of transactions to be processed and a number of users;

receiving, by a processor, the set of scaling factor values which corresponds to a workload and a set of workload resource data of a virtual machine;

analyzing, by the processor, the set of scaling factors values with respect to the set of workload resource data;

identifying, based upon the analysis, a flavor of the one or more flavors to process the workload, wherein analyzing the set of scaling factor values includes;

identifying, using the one or more flavors mapped to scaling factor value ranges, a flavor which is mapped to a transaction processing scaling-factor-range which encompasses the number of transactions and a user access scaling-factor-range which encompasses the number of users;

dynamically determining, by the processor, based on the identified flavor, a configuration of the virtual machine;

allocating, by the processor, based on the determined configuration, a shared pool of configurable computer resources to the virtual machine; and

processing, by the virtual machine, the workload using the allocated shared pool of configurable computer resources.

2. The method of claim 1, wherein the set of scaling values comprises one or more of a transaction processing scaling-factor-value, a user access scaling-factor-value, and an entity storage scaling-factor-value, wherein the transaction processing scaling-factor-value includes a number of transactions, wherein the user access scaling-factor-value includes a number of users, and wherein the entity storage scaling-factor-value includes a number of objects for storage.

3. The method of claim 1, wherein the set of scaling values comprises one or more of a product usage scaling-factor-value and a provider-defined scaling-factor-value, wherein the product usage scaling-factor-value includes the number of entities being accessed and wherein the provider-defined scaling-factor-value includes one or more scaling goals based on the workload.

4. The method of claim 1, further comprising storing, in the shared pool of configurable computing resources, a registry including the set of workload resource data, the workload resource data specifying resource requirement mappings to scaling factor value ranges, wherein the resource requirements are stored as flavors having a processing component and a memory component, wherein the registry is configured to allow providers to register their workload resource requirements for specific workloads, wherein each flavor to scaling factor value range mapping is denoted by a workload identifier.

5. The method of claim 1, wherein the workload resource data includes a plurality of configurations, each configuration specifying a different virtual machine size and resource requirement type for the workload.

6. The method of claim 1, wherein dynamically determining the configuration for the virtual machine includes ascertaining a set of resource attributes which indicates the configuration.

7. The method of claim 1, wherein dynamically determining the configuration for the virtual machine includes coupling a workload identifier with a configuration template.

8. The method of claim 1, wherein allocating the shared pool of configurable computing resources includes at least one selected from the group consisting of:

providing a processing resource;

providing a memory resource;

providing a disk resource;

deploying the virtual machine;

sizing the virtual machine; and

resizing the virtual machine.