Dynamic instantiation and management of virtual caching appliances

Patent metadata

Field	Value
Publication number	US-12282806-B2
Application number	US-202217683041-A
Country	US
Kind code	B2
Filing date	Feb 28, 2022
Priority date	Dec 22, 2011
Publication date	Apr 22, 2025
Grant date	Apr 22, 2025

Abstract

It is detected that a metric associated with a first workload has breached a first threshold. It is determined that the first workload and a second workload access the same storage resources, wherein the storage resources are associated with a storage server. It is determined that the metric is impacted by the first workload and the second workload accessing the same storage resources. A candidate solution is identifier. An estimated impact of a residual workload is determined based, at least in part, on the candidate solution. A level of caching of at least one of the first workload or the second workload is adjusted based, at least in part, on the estimated impact of the residual workload.

First claim

What is claimed is:

1. A method comprising:
defining a service level objective for a plurality of workloads that are executed using allocated resources that include a cache;
monitoring performance metrics related to the service level objectives for the plurality of workloads;
obtaining workload characteristics of the plurality of workloads;
evaluating the performance metrics and the workload characteristics to determine that the allocated resources are underutilized where utilization of the allocated resources falls below a threshold; and
in response to detecting that the allocated resources are underutilized:
filtering the plurality of workloads to remove uncacheable workloads from consideration for caching adjustment, wherein the filtering generates a list of workloads that are cacheable; and
implementing a cache change to perform the caching adjustment for the workloads that are cacheable.

2. The method of claim 1 , comprising:
in response to determining that allocated resources are underutilized, identifying a candidate virtual cache appliance for reduction; and
implementing the cache change to reduce the candidate virtual cache appliance.

3. The method of claim 1 , comprising:
in response to determining that allocated resources are underutilized, identifying a candidate virtual cache appliance for removal; and
implementing the cache change to remove the candidate virtual cache appliance.

4. The method of claim 1 , comprising:
in response to determining that allocated resources are underutilized, identifying a candidate virtual cache appliance to perform the cache change upon;
calculating an expected effect of performing the cache change upon the candidate virtual cache appliance; and
implementing the cache change based upon the expected effect.

5. The method of claim 1 , comprising:
in response to determining that allocated resources are underutilized, identifying a candidate virtual cache appliance to perform the cache change upon to remove the candidate virtual cache appliance;
calculating an expected effect of performing the cache change upon the candidate virtual cache appliance; and
implementing the cache change to remove the candidate virtual cache appliance based upon the expected effect.

6. The method of claim 1 , comprising:
in response to determining that allocated resources are underutilized, identifying a candidate virtual cache appliance to perform the cache change upon to reduce the candidate virtual cache appliance;
calculating an expected effect of performing the cache change upon the candidate virtual cache appliance; and
implementing the cache change to reduce the candidate virtual cache appliance based upon the expected effect.

7. The method of claim 1 , comprising:
in response to determine that the allocated resources are not underutilized, continuing to monitor the performance metrics.

8. The method of claim 1 , comprising:
in response to determine that there is no candidate virtual cache appliance upon which the cache change can be implemented, continuing to monitor the performance metrics.

9. A computing device comprising:
a memory comprising machine executable code; and
a processor coupled to the memory, the processor configured to execute the machine executable code to cause the processor to:
define a service level objective for a plurality of workloads that are executed using allocated resources that include a cache;
monitor performance metrics related to the service level objectives for the plurality of workloads;
obtain workload characteristics of the plurality of workloads;
evaluating the performance metrics and the workload characteristics to determine that the allocated resources are underutilized where utilization of the allocated resources falls below a threshold; and
in response to detecting that the allocated resources are underutilized:
filter the plurality of workloads to remove uncacheable workloads from consideration for caching adjustment to generate a list of workloads that are cacheable; and
implement a cache change to perform the caching adjustment for the workloads that are cacheable.

10. The computing device of claim 9 , wherein the machine executable code causes the processor to:
in response to determining that allocated resources are underutilized, identify a candidate virtual cache appliance for reduction; and
implement the cache change to reduce the candidate virtual cache appliance.

11. The computing device of claim 9 , wherein the machine executable code causes the processor to:
in response to determining that allocated resources are underutilized, identify a candidate virtual cache appliance for removal; and
implement the cache change to remove the candidate virtual cache appliance.

12. The computing device of claim 9 , wherein the machine executable code causes the processor to:
in response to determining that allocated resources are underutilized, identify a candidate virtual cache appliance to perform the cache change upon;
calculate an expected effect of performing the cache change upon the candidate virtual cache appliance; and
implement the cache change based upon the expected effect.

13. The computing device of claim 9 , wherein the machine executable code causes the processor to:
in response to determining that allocated resources are underutilized, identify a candidate virtual cache appliance to perform the cache change upon to remove the candidate virtual cache appliance;
calculate an expected effect of performing the cache change upon the candidate virtual cache appliance; and
implement the cache change to remove the candidate virtual cache appliance based upon the expected effect.

14. The computing device of claim 9 , wherein the machine executable code causes the processor to:
in response to determining that allocated resources are underutilized, identify a candidate virtual cache appliance to perform the cache change upon to reduce the candidate virtual cache appliance;
calculate an expected effect of performing the cache change upon the candidate virtual cache appliance; and
implement the cache change to reduce the candidate virtual cache appliance based upon the expected effect.

15. The computing device of claim 9 , wherein the machine executable code causes the processor to:
in response to determine that the allocated resources are not underutilized, continue to monitor the performance metrics.

16. The computing device of claim 9 , wherein the machine executable code causes the processor to:
in response to determine that there is no candidate virtual cache appliance upon which the cache change can be implemented, continue to monitor the performance metrics.

17. A non-transitory machine readable medium comprising instructions for performing a method, which when executed by a machine, causes the machine to:
define a service level objective for a plurality of workloads that are executed using allocated resources that include a cache;
monitor performance metrics related to the service level objectives for the plurality of workloads;
obtain workload characteristics of the plurality of workloads;
evaluating the performance metrics and the workload characteristics to determine that the allocated resources are underutilized where utilization of the allocated resources falls below a threshold; and
in response to detecting that the allocated resources are underutilized:
filter the plurality of workloads to remove uncacheable workloads from consideration for caching adjustment to generate a list of workloads that are cacheable

Assignees

• Netapp Inc

Inventors

• Bairavasundaram Lakshmi Narayanan
• Soundararajan Gokul
• Mathur Vipul
• Voruganti Kaladhar

Classifications

• G06F2009/45595

  Network integration; Enabling network access in virtual machine instances · CPC title

• G06F2009/45583

  Memory management, e.g. access or allocation · CPC title

• G06F2009/4557

  Distribution of virtual machine instances; Migration and load balancing · CPC title

• G06F9/5016 Primary

  the resource being the memory · CPC title

• H04L67/568

  Storing data temporarily at an intermediate stage, e.g. caching · CPC title