Aligning tenant resource demand in a multi-tier storage environment

• US 10,296,262 B2
• Filed: 02/02/2017
• Issued: 05/21/2019
• Est. Priority Date: 02/02/2017
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Aronovich, Lior, Black, Samuel M.
• Primary Examiner(s): Farrokh, Hashem
• Application Number:
  US15/422,898
• Publication Number:
  US 20180217784A1
• Time in Patent Office: 838 Days
• Field of Search: 711117
• CPC Class Codes: G06F 3/0605 by facilitating the interaction with a user or administrator
• CPC Class Codes: G06F 3/0649 Lifecycle management
• CPC Class Codes: G06F 3/067 Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS]
• CPC Class Codes: G06F 3/0685 Hybrid storage combining heterogeneous device types, e.g. hierarchical storage, hybrid arrays

Abstract

Embodiments for managing resources in a tiered data storage system, by a processor device. In response to differing business priorities for executing workloads by a workload manager, a resource plan is generated by an administrator of the workload manager. The resource plan defines what resources of the storage system are allocated to a particular group of tenants and at what time the workloads of the particular group are executed, thereby optimizing utilization of the resources of the storage system.

Claims

1. A method for managing resources in a tiered data storage system, by a processor device, comprising:

in response to differing business priorities for executing workloads by a workload manager, generating a resource plan by an administrator of the workload manager, wherein the resource plan defines what resources of the storage system are allocated to a particular group of tenants and at what time the workloads of the particular group are executed, thereby optimizing utilization of the resources of the storage system;

extending the resource plan to include each one of a plurality of storage tiers of the data storage system, wherein the administrator defines a quantity of a particular one of the plurality of storage tiers to be allocated for use by a respective one of the tenants; and

defining, by the administrator, a time period of which the particular one of the plurality of storage tiers is allocated for use by the respective one of the tenants, wherein a peak demand summed over all of tenants is allowed to exceed a total capacity of each individual one of the plurality of storage tiers.

2. The method of claim 1, further including submitting a storage portion of the resource plan to an optimization policy generator, wherein the optimization policy generator, over a predetermined timeframe, translates the storage portion of the resource plan into placement and migration policies to be executed for data stored in the storage system.

3. The method of claim 2, further including migrating or initially placing the data, by the storage system, in at least one of the plurality of storage tiers in accordance with the placement and migration policies received by the optimization policy generator.

4. The method of claim 1, further including dispatching each of the workloads by the workload manager to at least one of a plurality of computers, wherein the storage system provides capacity of each of the plurality of storage tiers aligned with the resource plan maintained by the workload manager.

5. The method of claim 1, wherein the resources are selected from a list comprising at least Central Processing Unit (CPU), memory, and storage resources;

and

the resource plan is associated with business requirements or a Service Level Agreement (SLA).

6. A system for managing resources in a tiered data storage system, the system comprising:

a processor device executing instructions stored in a memory, wherein the processor device;

in response to differing business priorities for executing workloads by a workload manager, generates a resource plan by an administrator of the workload manager, wherein the resource plan defines what resources of the storage system are allocated to a particular group of tenants and at what time the workloads of the particular group are executed, thereby optimizing utilization of the resources of the storage system;

extends the resource plan to include each one of a plurality of storage tiers of the data storage system, wherein the administrator defines a quantity of a particular one of the plurality of storage tiers to be allocated for use by a respective one of the tenants; and

receives input, by the administrator, defining a time period of which the particular one of the plurality of storage tiers is allocated for use by the respective one of the tenants, wherein a peak demand summed over all of tenants is allowed to exceed a total capacity of each individual one of the plurality of storage tiers.

7. The system of claim 6, wherein the processor device submits a storage portion of the resource plan to an optimization policy generator, wherein the optimization policy generator, over a predetermined timeframe, translates the storage portion of the resource plan into placement and migration policies to be executed for data stored in the storage system.

8. The system of claim 7, wherein the processor device migrates or initially places the data, by the storage system, in at least one of the plurality of storage tiers in accordance with the placement and migration policies received by the optimization policy generator.

9. The system of claim 6, wherein the processor device dispatches each of the workloads by the workload manager to at least one of a plurality of computers, wherein the storage system provides capacity of each of the plurality of storage tiers aligned with the resource plan maintained by the workload manager.

10. The system of claim 6, wherein the resources are selected from a list comprising at least Central Processing Unit (CPU), memory, and storage resources;

and

the resource plan is associated with business requirements or a Service Level Agreement (SLA).

11. A computer program product for managing resources in a tiered data storage system, by a processor device, the computer program product embodied on a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:

an executable portion that, in response to differing business priorities for executing workloads by a workload manager, generates a resource plan by an administrator of the workload manager, wherein the resource plan defines what resources of the storage system are allocated to a particular group of tenants and at what time the workloads of the particular group are executed, thereby optimizing utilization of the resources of the storage system;

an executable portion that extends the resource plan to include each one of a plurality of storage tiers of the data storage system, wherein the administrator defines a quantity of a particular one of the plurality of storage tiers to be allocated for use by a respective one of the tenants; and

an executable portion that receives input, by the administrator, defining a time period of which the particular one of the plurality of storage tiers is allocated for use by the respective one of the tenants, wherein a peak demand summed over all of tenants is allowed to exceed a total capacity of each individual one of the plurality of storage tiers.

12. The computer program product of claim 11, further including an executable portion that submits a storage portion of the resource plan to an optimization policy generator, wherein the optimization policy generator, over a predetermined timeframe, translates the storage portion of the resource plan into placement and migration policies to be executed for data stored in the storage system.

13. The computer program product of claim 12, further including an executable portion that migrates or initially places the data, by the storage system, in at least one of the plurality of storage tiers in accordance with the placement and migration policies received by the optimization policy generator.

14. The computer program product of claim 11, further including an executable portion that dispatches each of the workloads by the workload manager to at least one of a plurality of computers, wherein the storage system provides capacity of each of the plurality of storage tiers aligned with the resource plan maintained by the workload manager.

15. The computer program product of claim 11, wherein the resources are selected from a list comprising at least Central Processing Unit (CPU), memory, and storage resources;

and

the resource plan is associated with business requirements or a Service Level Agreement (SLA).