IP Library Granted Patent US 9,813,500
Granted Patent B2
US 9,813,500 · App. 14/737,956 · Granted Nov 7, 2017

Allocating cloud storage based on storage attributes

Inventor: Seth Mason (San Jose, CA)
Assignee: Cisco Technology, Inc.
H04L67/1097G06F9/5016G06F9/5072H04L41/0816H04L47/70H04L67/306
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Quick Facts
Patent No.
US 9,813,500
App. No.
14/737,956
Granted
Nov 7, 2017
Kind
B2
Abstract

A method of allocating cloud storage based on storage profiles includes receiving a storage request from a virtual machine associated with a tenant at a computing apparatus having connectivity to a network. The storage request is analyzed to determine one or more storage attributes of the storage request. An infrastructure is configured in a configuration based on the one or more storage attributes and data associated with the storage request is stored in the infrastructure in accordance with the configuration.

Claims (64)

1. A method comprising:

at a computing apparatus having connectivity to a network, receiving a generic storage request from a virtual machine associated with a tenant;

analyzing parameters of the generic storage request to determine one or more storage attributes to add to any specific storage attributes explicitly included in the generic storage request;

configuring an infrastructure in a configuration based on the one or more storage attributes and the specific storage attributes; and

storing data associated with the generic storage request in the infrastructure in accordance with the configuration.

2. The method of claim 1 , further comprising:

monitoring a workload associated with the generic storage request; and

adjusting the configuration based on one or more storage attributes of the workload.

3. The method of claim 2 , wherein monitoring the workload associated with the generic storage request further comprises:

comparing the one or more storage attributes of the workload to the one or more storage attributes and the specific storage attributes on which the configuration is based; and

detecting a difference in the comparing.

4. The method of claim 1 , further comprising:

monitoring the infrastructure for changes associated with data storage in the infrastructure; and

adjusting the configuration based on the changes.

5. The method of claim 1 , further comprising:

selecting a predetermined storage profile based on the one or more storage attributes and the specific storage attributes; and

refining the predetermined storage profile based on the one or more storage attributes.

6. The method of claim 5 , further comprising:

monitoring a workload associated with the generic storage request; and

further refining the predetermined storage profile based on one or more storage attributes of the workload.

7. The method of claim 6 , wherein monitoring is performed over a number of time windows and the predetermined storage profile is further refined after each time window.

8. The method of claim 1 , wherein the one or more storage attributes include at least one of: a volume size, an Input/Output (IO) size, a read/write ratio, a number of Input/Output Operations per Second (IOPS), or a durability.

9. A system comprising:

a storage infrastructure subsystem including at least one storage array and non-volatile cache memory; and

a computer subsystem running one or more applications associated with at least a first tenant, wherein the computer subsystem interfaces with the storage infrastructure subsystem and includes program instructions that cause the computer subsystem to:

receive a generic storage request from a virtual machine associated with the first tenant;

analyze parameters of the generic storage request to determine one or more storage attributes to add to any specific storage attributes explicitly included in the generic storage request;

configure an infrastructure in a configuration based on the one or more storage attributes and the specific storage attributes; and

store data associated with the generic storage request in the infrastructure in accordance with the configuration.

10. The system of claim 9 , wherein the computer subsystem further includes program instructions that cause the computer subsystem to:

monitor a workload associated with the generic storage request; and

adjust the configuration based on one or more storage attributes of the workload.

11. The system of claim 10 , wherein, in monitoring the workload associated with the generic storage request, the computer subsystem further includes program instructions that cause the computer subsystem to:

compare the one or more storage attributes of the workload to the one or more storage attributes and the specific storage attributes on which the configuration is based; and

detect a difference in the comparing.

12. The system of claim 9 , wherein the computer subsystem further includes program instructions that cause the computer subsystem to:

monitor the infrastructure for changes associated with data storage in the infrastructure; and

adjust the configuration based on the changes.

13. The system of claim 9 , wherein, the computer subsystem further includes program instructions that cause the computer subsystem to:

select a predetermined storage profile based on the one or more storage attributes and the specific storage attributes; and

refine the predetermined storage profile based on the one or more storage attributes.

14. The system of claim 13 , wherein the computer subsystem further includes program instructions that cause the computer subsystem to:

monitor a workload associated with the generic storage request; and

further refine the predetermined storage profile based on one or more storage attributes of the workload.

15. A non-transitory computer-readable storage media encoded with software comprising computer executable instructions and when the software is executed operable to:

receive a generic storage request from a virtual machine associated with a tenant;

analyze parameters of the generic storage request to determine one or more storage attributes to add to any specific storage attributes explicitly included in the generic storage request;

configure an infrastructure in a configuration based on the one or more storage attributes and the specific storage attributes; and

store data associated with the generic storage request in the infrastructure in accordance with the configuration.

16. The non-transitory computer-readable storage media of claim 15 , further comprising instructions operable to:

monitor a workload associated with the generic storage request; and

adjust the configuration based on one or more storage attributes of the workload.

17. The non-transitory computer-readable storage media of claim 16 , wherein the instructions operable to monitor the workload associated with the generic storage request include instructions operable to:

compare the one or more storage attributes of the workload to the one or more storage attributes and the specific storage attributes on which the configuration is based; and

detect a difference in the comparing.

18. The non-transitory computer-readable storage media of claim 15 , further comprising instructions operable to:

monitor the infrastructure for changes associated with data storage in the infrastructure; and

adjust the configuration based on the changes.

19. The non-transitory computer-readable storage media of claim 15 , further comprising instructions operable to:

select a predetermined storage profile based on the one or more storage attributes and the specific storage attributes; and

refine the predetermined storage profile based on the one or more storage attributes.

20. The non-transitory computer-readable storage media of claim 19 , further comprising instructions operable to:

monitor a workload associated with the generic storage request; and

further refine the predetermined storage profile based on one or more storage attributes of the workload.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 12, 2015
From: MASON, SETH
To: CISCO TECHNOLOGY, INC.
Reel/Frame 035828/0860 →
Continuity (1)
Related Publication 20160366223A1 · Dec 15, 2016