Quality of service policy sets

• US 9,712,401 B2
• Filed: 05/01/2015
• Issued: 07/18/2017
• Est. Priority Date: 12/27/2011
• Status: Active Grant

• Current Assignee: NetApp, Inc.
• Original Assignee: NetApp, Inc.
• Inventors: Wright, David D., Xu, Michael
• Primary Examiner(s): Patel, Hitesh
• Application Number:
  US14/701,832
• Publication Number:
  US 20150236926A1
• Time in Patent Office: 809 Days
• CPC Class Codes: G06F 11/3433 for load management allocation of a server based on load conditions G06F9/505; load rebalancing G06F9/5083; redistributing the load in a network by a load balancer H04L67/1029
• CPC Class Codes: G06F 11/3485 for I/O devices
• CPC Class Codes: G06F 2201/81 Threshold
• CPC Class Codes: G06F 3/061 Improving I/O performance
• CPC Class Codes: G06F 3/0659 Command handling arrangements, e.g. command buffers, queues, command scheduling
• CPC Class Codes: G06F 3/067 Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS]
• CPC Class Codes: H04L 41/50 Network service management, e.g. ensuring proper service fulfilment according to agreements
• CPC Class Codes: H04L 41/5009 Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF]
• CPC Class Codes: H04L 41/5022 by giving priorities, e.g. assigning classes of service
• CPC Class Codes: H04L 41/5067 Customer-centric QoS measurements
• CPC Class Codes: H04L 67/1008 based on parameters of servers, e.g. available memory or workload monitoring of computer activity G06F11/30
• CPC Class Codes: H04L 67/1097 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]

Abstract

Disclosed are systems, computer-readable mediums, and methods for receiving client quality of service values associated with a first client. Client metrics of a volume in a storage system are determined for the first client. The client metrics reflect usage of the storage system by the first client. A client load value based is determined upon the client metrics. A quality of service management policy for the first client is determined from a plurality of quality of service management policies based upon the client load value. Each quality of service management policy comprises a formula based on a quality of service parameter. A client target performance value is determined based upon the formula of the quality of service management policy and the received client quality of service values. Performance of the storage system is adjusted for the first client based upon the client target performance value.

Claims

1. A method comprising:

receiving client quality of service values associated with a first client;

determining client metrics of a volume in a storage system based upon use of the volume by the first client, wherein the storage system stores data from a plurality of clients, and wherein the client metrics reflect usage of the storage system by the first client;

determining, using a processor, a client load value based upon the client metrics;

determining a quality of service management policy for the first client from a plurality of quality of service management policies based upon the client load value, wherein each quality of service management policy comprises a formula, and wherein at least one formula includes a variable;

calculating a client target performance value based upon the formula of the quality of service management policy that includes the variable, a value of the variable, and the received client quality of service values;

adjusting performance of the storage system for the first client by throttling physical access of the first client to the storage system based upon the client target performance value; and

adjusting performance of the storage system for a second client of the storage system by throttling physical access of the second client to the storage system based upon a second formula and different client target performance value associated with the second client.

2. The method of claim 1, wherein the variable is the client load value.

3. The method of claim 2, wherein the client load value represents a client write load value.

4. The method of claim 1, further comprising setting a maximum quality of service parameter for the first client to a maximum quality of service value, wherein the client quality of service values include the maximum quality of service value, and wherein the formula of at least one quality of service management policy is based upon the maximum quality of service parameter.

5. The method of claim 4, wherein the calculated client target performance value is based on the maximum quality of service value.

6. The method of claim 4, further comprising setting a maximum burst quality of service parameter for the first client to a maximum burst quality of service value, wherein the client quality of service values include the maximum burst quality of service value, wherein the formula of at least one quality of service management policy is based upon the maximum burst quality of service parameter, and wherein the calculated client target performance value for the client is above the maximum quality of service value and below or equal to the maximum burst quality of service value.

7. The method of claim 4, further comprising:

receiving a request to increase the maximum quality of service value for a time period;

setting the maximum quality of service parameter for the first client to an increased maximum quality of service value for the time period; and

resetting the maximum quality of service parameter to the maximum quality of service value after expiration of the time period.

8. The method of claim 1, further comprising setting a minimum quality of service parameter for the first client to a minimum quality of service value, wherein the client quality of service values include the minimum quality of service value, wherein the formula of at least one quality of service management policy is based upon the minimum quality of service parameter, and wherein the calculated client target performance value for the client is below the minimum quality of service value.

9. The method of claim 1, further comprising:

receiving a schedule of quality of service values associated with the first client that includes quality of service values, wherein each quality of service values is associated with a date or a time of day; and

determining the client quality of service values to use in calculating the client target performance value based upon the schedule of quality of service values.

10. The method of claim 1, wherein the determining the client load value based upon the client metrics comprises adding a plurality of client metrics, wherein each client metric is multiplied by a weighted variable.

11. A non-transitory computer-readable medium having instructions stored thereon, that when executed by a computing device cause the computing device to perform operations comprising:

receiving client quality of service values associated with a first client;

determining client metrics of a volume in a storage system based upon use of the volume by the first client, wherein the storage system stores data from a plurality of clients, and wherein the client metrics reflect usage of the storage system by the first client;

determining a client load value based upon the client metrics;

determining a quality of service management policy for the first client from a plurality of quality of service management policies based upon the client load value, wherein each quality of service management policy comprises a formula, and wherein at least one formula includes a variable;

calculating a client target performance value based upon the formula of the quality of service management policy that includes the variable, a value of the variable, and the received client quality of service values;

adjusting performance of the storage system for the first client by throttling physical access of the first client to the storage system based upon the client target performance value; and

adjusting performance of the storage system for a second client of the storage system by throttling physical access of the second client to the storage system based upon a second formula and different client target performance value associated with the second client.

12. The non-transitory computer-readable medium of claim 11, wherein the operations further comprise setting a maximum quality of service parameter for the first client to a maximum quality of service value, wherein the client quality of service values include the maximum quality of service value, and wherein the formula of at least one quality of service management policy is based upon the maximum quality of service parameter.

13. The non-transitory computer-readable medium of claim 12, wherein the calculated client target performance value is based on the maximum quality of service value.

14. The non-transitory computer-readable medium of claim 12, wherein the operations further comprise setting a maximum burst quality of service parameter for the first client to a maximum burst quality of service value, wherein the client quality of service values include the maximum burst quality of service value, wherein the formula of at least one quality of service management policy is based upon the maximum burst quality of service parameter, and wherein the calculated client target performance value for the client is above the maximum quality of service value and below or equal to the maximum burst quality of service value.

15. The non-transitory computer-readable medium of claim 12, wherein the operations further comprise:

receiving a request to increase the maximum quality of service value for a time period;

setting the maximum quality of service parameter for the first client to an increased maximum quality of service value for the time period; and

resetting the maximum quality of service parameter to the maximum quality of service value after expiration of the time period.

16. The non-transitory computer-readable medium of claim 11, wherein the operations further comprise setting a minimum quality of service parameter for the first client to a minimum quality of service value, wherein the client quality of service values include the minimum quality of service value, wherein the formula of at least one quality of service management policy is based upon the minimum quality of service parameter, and wherein the calculated client target performance value for the client is below the minimum quality of service value.

17. A system comprising:

one or more processors; and

a non-transitory computer-readable medium having instructions executable by the one or more processors to,

receive client quality of service values associated with a first client;

determine client metrics of a volume in a storage system based upon use of the volume by the first client, wherein the storage system stores data from a plurality of clients, and wherein the client metrics reflect usage of the storage system by the first client;

determine a client load value based upon the client metrics;

determine a quality of service management policy for the first client from a plurality of quality of service management policies based upon the client load value, wherein each quality of service management policy comprises a formula, and wherein at least one formula includes a variable;

calculate a client target performance value based upon the formula of the quality of service management policy that includes the variable, a value of the variable, and the received client quality of service values;

throttle physical access of the first client to the storage system to adjust performance of the storage system for the first client based upon the client target performance value; and

throttle physical access of a second client to the storage system to adjust performance of the storage system for the second client of the storage system based upon a second formula and different client target performance value associated with the second client.

18. The system of claim 17, wherein the non-transitory computer-readable medium further has instructions executable by the one or more processors to set a maximum quality of service parameter for the first client to a maximum quality of service value, wherein the client quality of service values include the maximum quality of service value, and wherein the formula of at least one quality of service management policy is based upon the maximum quality of service parameter.

19. The system of claim 18, wherein the calculated client target performance value is based on the maximum quality of service value.

20. The system of claim 18, wherein the non-transitory computer-readable medium further has instructions executable by the one or more processors to set a maximum burst quality of service parameter for the first client to a maximum burst quality of service value, wherein the client quality of service values include the maximum burst quality of service value, wherein the formula of at least one quality of service management policy is based upon the maximum burst quality of service parameter, and wherein the calculated client target performance value for the client is above the maximum quality of service value and below or equal to the maximum burst quality of service value.