Allocation of storage resources in a networked computing environment based on energy utilization

• US 9,432,300 B2
• Filed: 03/18/2013
• Issued: 08/30/2016
• Est. Priority Date: 03/28/2011
• Status: Expired due to Fees

• Current Assignee: Kyndryl Incorporated
• Original Assignee: International Business Machines Corporation
• Inventors: Agarwala, Sandip, Butler, Eric K., Chavda, Kavita, Gopisetty, Sandeep
• Primary Examiner(s): Cassity, Robert
• Application Number:
  US13/845,332
• Publication Number:
  US 20140129717A1
• Time in Patent Office: 1,261 Days
• Field of Search: 713/320
• US Class Current: 1/1
• CPC Class Codes: G06F 3/0625 Power saving in storage systems
• CPC Class Codes: G06F 3/0635 by changing the path, e.g. traffic rerouting, path reconfiguration
• CPC Class Codes: G06F 3/067 Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS]
• CPC Class Codes: H04L 47/70 Admission control; Resource allocation
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

The present invention provides an approach to provision storage resources (e.g., across an enterprise storage system) for different workloads in an energy efficient manner. Typically, energy consumption characteristics for handling a particular storage workload will be determined. Thereafter, a type of storage device capable of handling the workload will be determined. Then, an allocation plan that results in the most efficient energy consumption for handling the workload will be developed. The allocation plan is based upon the energy consumption characteristics and an energy efficiency algorithm. The energy efficiency algorithm serves to identify storage device(s) that can handle the workload in such a way as to reduce total energy consumption and, accordingly, costs. The energy efficiency algorithm may also consider other factors such as capacity and load of storage devices and service level agreement (SLA) terms. At least one storage device can then be selected for handling the storage workload.

Claims

1. A method for energy efficient allocation of storage resources in a networked computing environment, comprising:

determining energy consumption characteristics of a storage workload in the networked computing environment;

selecting a type of storage device for handling the storage workload;

developing an allocation plan to result in a most efficient energy consumption for handling the workload, the allocation plan being based upon the energy consumption characteristics, a set of device models for a set of storage devices having the type, and an energy efficiency algorithm, the energy efficiency algorithm comprising applying a set of rules comprising;

assigning critical data having high performance and reliability requirements to a serial attached small computer system interface disk;

assigning workloads with high random input/output to an solid state drive; and

assigning redundant data to a serial AT attachment;

deploying the allocation plan; and

selecting at least one storage device from the set of storage devices for handling the storage workload according to the deployed allocation plan.

2. The method of claim 1, the networked computing environment comprising a cloud computing environment.

3. The method of claim 2, the at least one storage device comprising a network shared disk (NSD) within a general parallel file system (GFPS).

4. The method of claim 2, the at least one storage device comprising a plurality of NSDs associated with a plurality of redundant arrays of independent disks (RAIDs).

5. The method of claim 1, the energy efficiency algorithm being based on a capacity of a set of storage devices having the type, a load on each of the set of storage devices, and an energy consumption of the set of storage devices as derived from the set of device models.

6. The method of claim 1, further comprising handling the storage workload according to the allocation plan.

7. The method of claim 1, the energy consumption characteristics indicating a level of energy that will be consumed for handling the storage workload, and the allocation plan allocating the storage workload so that the level of energy can be provided at the lowest cost.

8. A system for energy efficient allocation of storage resources in a networked computing environment, comprising:

a bus;

a processor coupled to the bus; and

a memory medium coupled to the bus, the memory medium comprising instructions to;

determine energy consumption characteristics of a storage workload in the networked computing environment;

select a type of storage device for handling the storage workload;

develop an allocation plan to result in a most efficient energy consumption for handling the workload, the allocation plan being based upon the energy consumption characteristics, a set of device models for a set of storage devices having the type, and an energy efficiency algorithm, the energy efficiency algorithm comprising applying a set of rules comprising;

assigning critical data having high performance and reliability requirements to a serial attached small computer system interface disk;

assigning workloads with high random input/output to an solid state drive; and

assigning redundant data to a serial AT attachment;

deploy the allocation plan; and

select at least one storage device from the set of storage devices for handling the storage workload according to the deployed allocation plan.

9. The system of claim 8, the networked computing environment comprising a cloud computing environment.

10. The system of claim 9, the at least one storage device comprising a network shared disk (NSD) within a general parallel file system (GFPS).

11. The system of claim 9, the at least one storage device comprising a plurality of NSDs associated with a plurality of redundant arrays of independent disks (RAIDs).

12. The system of claim 8, the energy efficiency algorithm being based on a capacity of a set of storage devices having the type, a load on each of the set of storage devices, and an energy consumption of the set of storage devices as derived from the set of device models.

13. The system of claim 8, the memory medium further comprising instructions to handle the storage workload according to the allocation plan.

14. The system of claim 8, the energy consumption characteristics indicating a level of energy that will be consumed for handling the storage workload, and the allocation plan allocating the storage workload so that the level of energy can be provided at the lowest cost.

15. A computer program product for energy efficient allocation of storage resources in a networked computing environment, the computer program product comprising a computer readable hardware storage device, and program instructions stored on the computer readable hardware storage device, to:

determine energy consumption characteristics of a storage workload in the networked computing environment;

select a type of storage device for handling the storage workload;

develop an allocation plan to result in a most efficient energy consumption for handling the workload, the allocation plan being based upon the energy consumption characteristics, a set of device models for a set of storage devices having the type, and an energy efficiency algorithm, the energy efficiency algorithm comprising applying a set of rules comprising;

assigning critical data having high performance and reliability requirements to a serial attached small computer system interface disk;

assigning workloads with high random input/output to an solid state drive; and

assigning redundant data to a serial AT attachment;

deploy the allocation plan; and

select at least one storage device from the set of storage devices for handling the storage workload according to the deployed allocation plan.

16. The computer program product of claim 15, the networked computing environment comprising a cloud computing environment.

17. The computer program product of claim 16, the at least one storage device comprising a network shared disk (NSD) within a general parallel file system (GFPS).

18. The computer program product of claim 16, the at least one storage device comprising a plurality of NSDs associated with a plurality of redundant arrays of independent disks (RAIDs).

19. The computer program product of claim 15, the energy efficiency algorithm being based on a capacity of a set of storage devices having the type, a load on each of the set of storage devices, and an energy consumption of the set of storage devices as derived from the set of device models.

20. The computer program product of claim 15, further comprising program instructions stored on the computer readable hardware storage device to handle the storage workload according to the allocation plan.

21. The computer program product of claim 15, the energy consumption characteristics indicating a level of energy that will be consumed for handling the storage workload, and the allocation plan allocating the storage workload so that the level of energy can be provided at the lowest cost.

22. A method for deploying a system for energy efficient allocation of storage resources in a networked computing environment, comprising:

deploying a computer infrastructure being operable to;

determine energy consumption characteristics of a storage workload in the networked computing environment;

select a type of storage device for handling the storage workload;

develop an allocation plan to result in a most efficient energy consumption for handling the workload, the allocation plan being based upon the energy consumption characteristics, a set of device models for a set of storage devices having the type, and an energy efficiency algorithm, the energy efficiency algorithm comprising applying a set of rules comprising;

assigning critical data having high performance and reliability requirements to a serial attached small computer system interface disk;

assigning workloads with high random input/output to an solid state drive; and

assigning redundant data to a serial AT attachment;

deploy the allocation plan; and

select at least one storage device from the set of storage devices for handling the storage workload according to the deployed allocation plan.