Global in-line extent-based deduplication
US-2015193169-A1 · Jul 9, 2015 · US
US11416298B1 · US · B1
| Field | Value |
|---|---|
| Publication number | US-11416298-B1 |
| Application number | US-201916516950-A |
| Country | US |
| Kind code | B1 |
| Filing date | Jul 19, 2019 |
| Priority date | Jul 20, 2018 |
| Publication date | Aug 16, 2022 |
| Grant date | Aug 16, 2022 |
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Providing application-specific storage by a cloud-based storage system, including: identifying, for an application that utilizes resources within the cloud-based storage system, one or more characteristics associated with the application; and selecting, in dependence upon the one or more characteristics associated with the application and characteristics of resources within the cloud-based storage system, one or more resources within the cloud-based storage system to support the execution of the application, wherein at least a portion of a dataset associated with the application is stored as blocks within block storage resources in the cloud-based storage system and also stored as objects within object storage resources in the cloud-based storage system.
Opening claim text (preview).
What is claimed is: 1. A method comprising: identifying, for an application that utilizes storage resources within a cloud-based storage system, one or more storage performance characteristics associated with the application during a monitoring of an execution of the application; and comparing the storage performance characteristics of the application that were identified during the monitoring of the execution of the application with storage performance characteristics of storage resources of one or more cloud-based storage systems; selecting, based on the comparing, one or more storage resources within the one or more cloud-based storage systems to provide storage services to the application, wherein at least a portion of a dataset associated with the application is stored as blocks within block storage resources in the cloud-based storage system and also stored as objects within object storage resources in the cloud-based storage system; identifying, in dependence upon a predicted change to the application, one or more updated storage performance characteristics associated with the application, wherein the predicted change comprises a predicted increase in required processing storage resources to support the application; and selecting, in dependence upon the one or more updated storage performance characteristics associated with the application and storage performance characteristics of one or more storage resources within one or more of the cloudbased storage systems, an updated set of storage resources within the one or more cloud-based storage systems to support the execution of the application. 2. The method of claim 1 wherein selecting, in dependence upon the one or more storage performance characteristics associated with the application and storage performance characteristics of storage resources within one or more cloud-based storage systems, one or more storage resources within the one or more cloud-based storage systems to support the execution of the application further comprises selecting, from available storage resources that could be included in a cloud-based storage system, a subset of storage resources that can be provided by the cloud computing environment for inclusion within the cloud-based storage system that is to be created to support the execution of the application. 3. The method of claim 1 wherein selecting, in dependence upon the one or more storage performance characteristics associated with the application and storage performance characteristics of storage resources within one or more cloud-based storage systems, one or more storage resources within the one or more cloud-based storage systems to support the execution of the application further comprises selecting, from amongst a plurality of cloud-based storage systems that are supported by the cloud computing environment, a particular cloud-based storage system to support the execution of the application. 4. The method of claim 1 wherein selecting, in dependence upon the one or more storage performance characteristics associated with the application and storage performance characteristics of storage resources within one or more cloud-based storage systems, one or more storage resources within the one or more cloud-based storage systems to support the execution of the application further comprises selecting, from amongst a plurality of storage system virtual controller compute instances, a particular set of one or more storage system virtual controller compute instances to service I/O operations generated by the application. 5. The method of claim 1 further comprising: identifying, in dependence upon a detected change to the application, one or more updated storage performance characteristics associated with the application; and selecting, in dependence upon the one or more updated storage performance characteristics associated with the application and storage performance characteristics of one or more storage resources within one or more of the cloud-based storage systems, an updated set of storage resources within the one or more cloud-based storage systems to support the execution of the application. 6. The method of claim 5 wherein the application utilizes the updated set of storage resources within the one or more cloud-based storage systems without migrating any portion of the dataset that is stored as objects within object storage resources in the cloud-based storage system. 7. The method of claim 5 wherein selecting an updated set of storage resources within the one or more cloud-based storage systems to support the execution of the application further comprises modifying storage resources within the one or more cloud-based storage systems. 8. The method of claim 7 wherein modifying storage resources within the one or more cloud-based storage systems further comprises modifying a virtual drive layer in at least one of the cloud-based storage systems. 9. The method of claim 7 wherein modifying storage resources within the one or more cloud-based storage systems further comprises modifying a storage controller layer in at least one of the cloud-based storage systems. 10. The method of claim 7 , further comprising: receiving, via a storage tuning interface, tuning information for a cloud-based storage system that is utilized by the application; and wherein modifying storage resources within the one or more cloud-based storage systems is carried out in response to receiving the tuning information. 11. The method of claim 1 further comprising: detecting a change to one or more of the cloud-based storage systems; identifying, in dependence upon the detected change to one or more of the cloud-based storage systems, one or more updated storage performance characteristics associated with the one or more cloud-based storage systems; and selecting, in dependence upon the storage performance characteristics associated with the application and the updated storage performance characteristics associated with the one or more cloud-based storage systems, an updated set of storage resources within the one or more cloud-based storage systems to support the execution of the application. 12. The method of claim 1 further comprising: detecting that one or more storage resources within the cloud-based storage system have become constrained; and automatically, without user intervention, performing corrective actions. 13. A method comprising: identifying, for an application that utilizes storage resources within a cloud-based storage system, one or more storage performance characteristics associated with the application during a monitoring of an execution of the application; and comparing the storage performance characteristics of the application that were identified during the monitoring of the execution of the application with storage performance characteristics of storage resources of one or more cloud-based storage systems; selecting, based on the comparing, one or more storage resources within the one or more cloud-based storage systems to provide storage services to the application, wherein at least a portion of a dataset associated with the application is stored as blocks within block storage resources in the cloud-based storage system and also stored as objects within object storage resources in the cloud-based storage system; identifying, in dependence upon a predicted change to the application, one or more updated storage performance characteristics associated with the application, wherein the predicted change comprises a predicted increase in required processing storage resources to support the application; and selecting, in dependence upon the one or more updated
Performance criteria · CPC title
the resources being hardware resources other than CPUs, Servers and Terminals · CPC title
Non-volatile semiconductor memory arrays · CPC title
Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS] · CPC title
by allocating resources to storage systems · CPC title
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