Workload selection and cache capacity planning for a virtual storage area network
US-2016150003-A1 · May 26, 2016 · US
US9813500B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9813500-B2 |
| Application number | US-201514737956-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jun 12, 2015 |
| Priority date | Jun 12, 2015 |
| Publication date | Nov 7, 2017 |
| Grant date | Nov 7, 2017 |
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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.
Opening claim text (preview).
What is claimed is: 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.
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the condition being an adaptation, e.g. in response to network events · CPC title
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