IP Library Granted Patent US 9,471,258
Granted Patent B2
US 9,471,258 · App. 14/014,907 · Granted Oct 18, 2016

Performance isolation for storage clouds

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Quick Facts
Patent No.
US 9,471,258
App. No.
14/014,907
Granted
Oct 18, 2016
Kind
B2
Abstract

Embodiments of the present invention provide performance isolation for storage clouds. Under one embodiment, workloads across a storage cloud architecture are grouped into clusters based on administrator or system input. A performance isolation domain is then created for each of the clusters, with each of the performance isolation domains comprising a set of data stores associated with a set of storage subsystems and a set of data paths that connect the set of data stores to a set of clients. Thereafter, performance isolation is provided among a set of layers of the performance isolation domains.

Claims (38)

1. A system for providing performance isolation for storage clouds, comprising:

a bus;

a processor coupled to the bus; and

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

group workloads across a storage cloud architecture into clusters;

create a performance isolation domain for each of the clusters, each of the performance isolation domains comprising a set of data stores associated with a set of storage subsystems and a set of data paths that connect the set of data stores to a set of clients;

provide performance isolation among a set of layers of the performance isolation domains;

pool data stores from separate performance isolation domains into separate pools; and

assign the pools to at least one of device adapters, RAID controllers, and the set of storage subsystems, the assigning being based on a minimization of an overlap in the data paths of each cluster of the clusters.

2. The system of claim 1 , the grouping being based on input relating to at least one of the following: types of applications corresponding to the workloads, business units generating the workloads, or priority of the workloads.

3. The system of claim 1 , the set of data stores comprising a set of Logical Unit Numbers (LUNs).

4. The system of claim 1 , the memory medium further comprising instructions to prevent workloads on the device adapters from exceeding capacities of the device adapters.

5. The system of claim 1 , the memory medium further comprising instructions to map the set of data stores to a set of Input/Output (I/O) servers based on an I/O capacity and an I/O load of the set of I/O servers.

6. The system of claim 1 , the memory medium further comprising instructions to pair ports of the set of I/O servers with ports of the set of storage subsystems, the pairing being based upon availability, connectivity, I/O capacity, and I/O load.

7. The system of claim 1 , the memory medium further comprising isolating I/O traffic of different workloads in different servers.

8. A computer program product for providing performance isolation for storage clouds, the computer program product comprising a computer readable storage medium, and program instructions stored on the non-transitory computer readable storage medium, to:

group workloads across a storage cloud architecture into clusters;

create a performance isolation domain for each of the clusters, each of the performance isolation domains comprising a set of data stores associated with a set of storage subsystems and a set of data paths that connect the set of data stores to a set of clients;

provide performance isolation among a set of layers of the performance isolation domains; and

assign the pools to at least one of device adapters, RAID controllers, and the set of storage subsystems, the assigning being based on a minimization of an overlap in the data paths of each cluster of the clusters.

9. The computer program product of claim 8 , the grouping being based on input relating to at least one of the following: types of applications corresponding to the workloads, business units generating the workloads, or priority of the workloads.

10. The computer program product of claim 8 , the set of data stores comprising a set of Logical Unit Numbers (LUNs).

11. The computer program product of claim 8 , the memory medium further comprising instructions to prevent workloads on the device adapters from exceeding capacities of the device adapters.

12. The computer program product of claim 8 , the memory medium further comprising instructions to map the set of data stores to a set of Input/Output (I/O) servers based on an I/O capacity and an I/O load of the set of I/O servers.

13. The computer program product of claim 8 , the memory medium further comprising instructions to pair ports of the set of I/O servers with ports of the set of storage subsystems, the pairing being based upon availability, connectivity, I/O capacity, and I/O load.

14. The system of claim 13 , the memory medium further comprising isolating I/O traffic of different workloads in different servers.

15. A method for deploying a system for providing performance isolation for storage clouds, comprising:

providing a computer infrastructure being operable to:

group workloads across a storage cloud architecture into clusters;

create a performance isolation domain for each of the clusters, each of the performance isolation domains comprising a set of data stores associated with a set of storage subsystems and a set of data paths that connect the set of data stores to a set of clients;

provide performance isolation among a set of layers of the performance isolation domains;

pool data stores from separate performance isolation domains into separate pools; and

assign the pools to at least one of device adapters, RAID controllers, and the set of storage subsystems, the assigning being based on a minimization of an overlap in the data paths of each cluster of the clusters.

16. The method of claim 15 , wherein the grouping is based on input relating to at least one of the following: types of applications corresponding to the workloads, business units generating the workloads, or priority of the workloads.

17. The method of claim 15 , the set of data stores comprising a set of Logical Unit Numbers (LUNs).

18. The method of claim 15 , the computer infrastructure being further operable to prevent workloads on the device adapters from exceeding capacities of the device adapters.

19. The method of claim 15 , the computer infrastructure being further operable to map the set of data stores to a set of Input/Output (I/O) servers based on an I/O capacity and an I/O load of the set of I/O servers.

20. The method of claim 19 , the computer infrastructure being further operable to pair ports of the set of I/O servers with ports of the set of storage subsystems, the pairing being based upon availability, connectivity, I/O capacity, and I/O load.

Assignments (2)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 13, 2021
From: INTERNATIONAL BUSINESS MACHINES CORPORATION
To: KYNDRYL, INC.
Reel/Frame 057885/0644 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 30, 2013
From: AGARWALA, SANDIP; AYALA, RICHARD J., JR.; GOPISETTY, SANDEEP; MURTHY, SESHASHAYEE S.
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 031119/0701 →