Techniques for dynamically allocating resources in a storage cluster system

US11516148B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11516148-B2
Application numberUS-202117372728-A
CountryUS
Kind codeB2
Filing dateJul 12, 2021
Priority dateFeb 27, 2015
Publication dateNov 29, 2022
Grant dateNov 29, 2022

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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Abstract

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Various embodiments are directed to techniques for dynamically adjusting a maximum rate of throughput for accessing data stored within a volume of storage space of a storage cluster system based on the amount of that data that is stored within that volume. An apparatus includes an access component to monitor an amount of client data stored within a volume defined within a storage device coupled to a first node, and to perform a data access command received from a client device via a network to alter the client data stored within the volume; and a policy component to limit a rate of throughput at which at least the client data within the volume is exchanged as part of performance of the data access command to a maximum rate of throughput, and to calculate the maximum rate of throughput based on the stored amount.

First claim

Opening claim text (preview).

The invention claimed is: 1. A method, comprising: receiving quality of service data comprising a parameter defined for satisfying a storage requirement of an application; associating the quality of service data with a volume; and providing the application with data access to the volume based upon the quality of service data, wherein the parameter is applied to a data access command from the application for accessing the volume, and wherein the parameter is applied as a quality of service parameter specifying a rate of throughput as a ratio of quantity of data stored in the volume by the application. 2. The method of claim 1 , comprising: applying the parameter as an application parameter specifying a recommended minimum rate of throughput. 3. The method of claim 1 , comprising: applying the parameter as an application parameter specifying a recommended minimum capacity for the volume. 4. The method of claim 1 , comprising: selecting a storage device to host the volume based upon the parameter. 5. The method of claim 1 , comprising: applying the parameter as a component parameter specifying a highest supportable rate of throughput. 6. The method of claim 1 , comprising: applying the parameter as a component parameter specifying a storage capacity of a storage device storing the volume. 7. The method of claim 1 , comprising: applying the parameter as a rule specifying a minimum margin between an upper limit of throughput and a highest supportable rate of throughput. 8. The method of claim 1 , comprising: selecting a storage device to host the volume based upon the quality of service data. 9. A non-transitory machine-readable storage medium comprising instructions that when executed by a machine, cause the machine to: receive quality of service data comprising a parameter defined for satisfying a storage requirement of an application; associate the quality of service data with a volume; and provide the application with data access to the volume based upon the quality of service data, wherein the parameter is applied to a data access command from the application for accessing the volume, and wherein the parameter is applied as a quality of service parameter specifying a rate of throughput as a ratio of quantity of data stored in the volume by the application. 10. The non-transitory machine-readable storage medium of claim 9 , wherein the instructions cause the machine to: apply the parameter as an application parameter specifying a recommended minimum rate of throughput. 11. The non-transitory machine-readable storage medium of claim 9 , wherein the instructions cause the machine to: apply the parameter as an application parameter specifying a recommended minimum capacity for the volume. 12. The non-transitory machine-readable storage medium of claim 9 , wherein the instructions cause the machine to: select a storage device to host the volume based upon the parameter. 13. The non-transitory machine-readable storage medium of claim 9 , wherein the instructions cause the machine to: apply the parameter as a component parameter specifying a highest supportable rate of throughput. 14. The non-transitory machine-readable storage medium of claim 9 , wherein the instructions cause the machine to: apply the parameter as a component parameter specifying a storage capacity of a storage device storing the volume. 15. The non-transitory machine-readable storage medium of claim 9 , wherein the instructions cause the machine to: apply the parameter as a rule specifying a minimum margin between an upper limit of throughput and a highest supportable rate of throughput. 16. The non-transitory machine-readable storage medium of claim 9 , wherein the instructions cause the machine to: select a storage device to host the volume based upon the quality of service data. 17. A computing device comprising: a memory comprising instructions for performing a method; and a processor coupled to the memory, the processor configured to execute the instructions to cause the processor to: receive quality of service data comprising a parameter defined for satisfying a storage requirement of an application; associate the quality of service data with a volume; and provide the application with data access to the volume based upon the quality of service data, wherein the parameter is applied to a data access command from the application for accessing the volume, and wherein the parameter is applied as a quality of service parameter specifying a rate of throughput as a ratio of quantity of data stored in the volume by the application. 18. The computing device of claim 17 , wherein the instructions cause the processor to: apply the parameter as a rule specifying a minimum margin between an upper limit of throughput and a highest supportable rate of throughput. 19. The computing device of claim 17 , wherein the instructions cause the processor to: select a storage device to host the volume based upon the quality of service data. 20. The computing device of claim 17 , wherein the instructions cause the processor to: apply the parameter as an application parameter specifying a recommended minimum capacity for the volume.

Assignees

Inventors

Classifications

  • based on parameters of servers, e.g. available memory or workload (monitoring of computer activity G06F11/30) · CPC title

  • Conversion or adaptation of application format or content (adding application control or application functional data H04L67/561) · CPC title

  • H04L47/805Primary

    QOS or priority aware · CPC title

  • for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS] · CPC title

  • Determination of shaping rate, e.g. using a moving window · CPC title

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What does patent US11516148B2 cover?
Various embodiments are directed to techniques for dynamically adjusting a maximum rate of throughput for accessing data stored within a volume of storage space of a storage cluster system based on the amount of that data that is stored within that volume. An apparatus includes an access component to monitor an amount of client data stored within a volume defined within a storage device coupled…
Who is the assignee on this patent?
Netapp Inc
What technology area does this patent fall under?
Primary CPC classification H04L47/805. Mapped technology areas include Electricity.
When was this patent published?
Publication date Tue Nov 29 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).