Dynamic installation and management of virtual caching appliances

Patent metadata

Field	Value
Publication number	US-10628227-B2
Application number	US-201615048907-A
Country	US
Kind code	B2
Filing date	Feb 19, 2016
Priority date	Dec 22, 2011
Publication date	Apr 21, 2020
Grant date	Apr 21, 2020

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:
detecting, by a computing device, that a first workload and a second workload access overlapping cached data within same storage resources associated with a storage server, wherein a working set size corresponding to an amount of cached data uniquely accessed by the first workload over a time period is identified;
generating a set of caching solutions for the overlapping cached data to address a service level agreement violation associated with the first workload, wherein the set of caching solutions are ranked based upon a resource usage rule and cost constraint; and
adjusting a first virtual cache appliance, through which the first workload is routed, according to a caching solution selected from the set of generated caching solutions based upon the caching solution adjusting a cache size of the first virtual appliance for the first workload by an amount based upon the working set size.

2. The method of claim 1 , comprising:
identifying co-locations of data accessed by the first workload and the second workload to determine correlations between first metrics of the first workload and second metrics of the second workload for selecting the caching solution.

3. The method of claim 2 , comprising:
applying statistical analysis to sampling data to determine the correlations.

4. The method of claim 1 further comprising:
assigning a rank to a first caching solution based upon whether the first caching solution solves the service level agreement violation and satisfies the cost constraint corresponding to a preference of an administrative policy to reduce resource cost.

5. The method of claim 1 further comprising:
de-allocating the first virtual cache appliance based upon a determination that the first virtual cache appliance is underutilized.

6. The method of claim 1 , wherein the cache size is adjusted proportional to the working set size.

7. A computing device comprising:
a processor; and
a machine readable medium comprising instructions which, when executed by the processor, cause the computing device to:
detect that a first workload and a second workload access overlapping cached data within same storage resources associated with a storage server;
generate a set of caching solutions for the overlapping cached data to address a service level agreement violation associated with the first workload, wherein the set of caching solutions are ranked based upon a resource usage rule and cost constraint, wherein a working set size corresponding to an amount of cached data uniquely accessed by the first workload over a time period is identified; and
adjust a first virtual cache appliance, through which the first workload is routed, according to a caching solution selected from the set of generated caching solutions based upon the caching solution adjusting a cache size of the first virtual appliance for the first workload by an amount based upon the working set size.

8. The computing device of claim 7 , comprising instructions which, when executed by the processor, cause the computing device to:
identify co-locations of data accessed by the first workload and the second workload to determine correlations between first metrics of the first workload and second metrics of the second workload for selecting the caching solution.

9. The computing device of claim 8 , comprising instructions which, when executed by the processor, cause the computing device to:
apply statistical analysis to sampling data to determine the correlations.

10. The computing device of claim 7 , comprising instructions which, when executed by the processor, cause the computing device to:
assign a rank to a first caching solution based upon whether the first caching solution solves the service level agreement violation and satisfies the cost constraint corresponding to a preference of an administrative policy to reduce resource cost.

11. The computing device of claim 7 , comprising instructions which, when executed by the processor, cause the computing device to:
de-allocate the first virtual cache appliance based upon a determination that the first virtual cache appliance is underutilized.

12. The computing device of claim 7 , wherein the instructions which, when executed by the processor, cause the computing device to:
select the first virtual cache appliance to adjust based on determining that there are insufficient resources to adjust a second virtual cache appliance through which the second workload is routed.

13. A non-transitory machine readable medium comprising instructions for performing a method, which when executed by a machine, causes the machine to:
detect that a first workload and a second workload access overlapping cached data within same storage resources associated with a storage server, wherein a working set size corresponding to an amount of cached data uniquely accessed by the first workload over a time period is identified;
generate a set of caching solutions for the overlapping cached data to address a service level agreement violation associated with the first workload, wherein the set of caching solutions are ranked based upon a resource usage rule and cost constraint; and
adjust a first virtual cache appliance, through which the first workload is routed, according to a caching solution selected from the set of generated caching solutions based upon the caching solution adjusting a cache size of the first virtual appliance for the first workload by an amount based upon the working set size.

14. The non-transitory machine readable medium of claim 13 , wherein the instructions cause the machine to:
identify co-locations of data accessed by the first workload and the second workload to determine correlations between first metrics of the first workload and second metrics of the second workload for selecting the caching solution.

15. The non-transitory machine readable medium of claim 14 , wherein the instructions cause the machine to:
apply statistical analysis to sampling data to determine the correlations.

16. The non-transitory machine readable medium of claim 13 , wherein the instructions cause the machine to:
assign a rank to a first caching solution based upon whether the first caching solution solves the service level agreement violation and satisfies the cost constraint corresponding to a preference of an administrative policy to reduce resource cost.

17. The non-transitory machine readable medium of claim 13 , wherein the instructions cause the machine to:
de-allocate the first virtual cache appliance based upon a determination that the first virtual cache appliance is underutilized.

18. The non-transitory machine readable medium of claim 13 , wherein the instructions cause the machine to:
select the first virtual cache appliance to adjust based on determining that there are insufficient resources to adjust a second virtual cache appliance through which the second workload is routed.

19. The non-transitory machine readable medium of claim 13 , wherein the second workload is routed through the first virtual cache appliance.

20. The non-transitory machine readable medium of claim 19 , wherein the first virtual appliance is adjusted to change an impact of the second workload on a metric.

Assignees

• Netapp Inc

Inventors

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

Classifications

• G06F2009/4557

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

• G06F16/172

  Caching, prefetching or hoarding of files · CPC title

• G06F2009/45583

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

• G06F9/5077 Primary

  Logical partitioning of resources; Management or configuration of virtualized resources (specific details on emulation or internal functioning of virtual machines G06F9/455) · CPC title

• H04L41/0816

  the condition being an adaptation, e.g. in response to network events · CPC title