Capacity risk management for virtual machines

Patent metadata

Field	Value
Publication number	US-9983900-B2
Application number	US-201615335349-A
Country	US
Kind code	B2
Filing date	Oct 26, 2016
Priority date	Jun 30, 2014
Publication date	May 29, 2018
Grant date	May 29, 2018

Abstract

An access data collector collects access assignment data characterizing active access assignment operations of a hypervisor in assigning host computing resources among virtual machines for use in execution of the virtual machines. Then, a capacity risk indicator calculator calculates a capacity risk indicator characterizing a capacity risk of the host computing resources with respect to meeting a prospective capacity demand of the virtual machines, based on the access assignment data.

First claim

What is claimed is:

1. A system including instructions stored on a non-transitory computer-readable storage medium and executable by at least one processor, the system comprising:
a data collector configured to cause the at least one processor to, collect data about active operations of a hypervisor in assigning hardware resources to a plurality of queued virtual machines for use in execution of the plurality of virtual machines, and
collect pressure data pertaining to maintaining a plurality of resource access queues implemented by the hypervisor, each resource access queue representing an ordered list for assigning one or more of the hardware resources to one or more of the plurality of virtual machines; and

a monitor configured to cause the at least one processor to,
determine, for the hypervisor assigning the hardware resources, whether the pressure data indicates a pressure above a predefined threshold pertaining to one or more of the plurality of hardware resources, and
indicate an increase in a capacity risk for the hypervisor according to a determined amount of the pressure data above the predefined threshold, the pressure data being based on maintaining the plurality of resource access queues and on a rate of assignment of one or more of the hardware resources being assigned by the hypervisor,

wherein the capacity risk includes a saturation level pertaining to at least one of the plurality of resource access queues associated with virtual machines contributing to memory pressure and at least one of the plurality of resource access queues associated with virtual machines contributing to processing pressure, the saturation level indicating that at least one of the memory pressure or the processing pressure is increasing, and
wherein the system uses at least two pressure indexes for determining the capacity risk using a weighted combination of the at least two pressure indexes, each pressure index being a calculated degree of hardware resource usage experienced by the hypervisor during active assignment operations of the hardware resources.

2. The system of claim 1 , wherein the pressure data includes information about how the hypervisor assigns and provides memory resources, processing resources, and storage resources for each of the plurality of queued virtual machines.

3. The system of claim 1 , wherein the system is further configured to:
determine, for a portion of hardware resources within a cluster of virtual machines, a combined summary risk, the combined summary risk representing combined data for two or more virtual machines in the cluster;
determine, that the combined summary risk is above a threshold indicated for pressure data pertaining to at least one calculated pressure index; and
report, with a report generator and for the cluster of virtual machines, a saturation risk assessment.

4. The system of claim 3 , wherein the saturation risk assessment includes a description of steps to alleviate saturation for the cluster of virtual machines.

5. The system of claim 1 , wherein determining the capacity risk indicator includes generating, for each hardware resource, a days-to-saturation metric based on a rate of usage for the respective hardware resource.

6. The system of claim 5 , wherein determining the capacity risk includes combining the days-to-saturation metric and an associated pressure index for a respective hardware resource.

7. A computer-implemented method comprising:
collecting data about active operations of a hypervisor in assigning hardware resources to a plurality of queued virtual machines for use in execution of the plurality of virtual machines,
collecting pressure data pertaining to maintaining a plurality of resource access queues implemented by the hypervisor, each resource access queue representing an ordered list for assigning one or more of the plurality of hardware resources to one or more of the plurality of virtual machines; and
in response to determining, for the hypervisor that the pressure data indicates a pressure above a predefined threshold pertaining to one or more of the plurality of hardware resources, increasing a capacity risk indicator for the hypervisor based on the determined amount of the pressure data above the predefined threshold, the pressure data being based on maintaining the plurality of resource access queues and on a rate of assignment of one or more of the plurality of hardware resources being assigned by the hypervisor,
wherein the capacity risk includes a saturation level pertaining to at least one of the plurality of resource access queues associated with virtual machines contributing to memory pressure and at least one of the plurality of resource access queues associated with virtual machines contributing to processing pressure, the saturation level indicating that at least one of the memory pressure or the processing pressure is increasing, and
wherein at least two pressure indexes are used for determining the capacity risk using a weighted combination of the at least two pressure indexes, each pressure index being a calculated degree of hardware resource usage experienced by the hypervisor during active assignment operations of the hardware resources.

8. The method of claim 7 , wherein the pressure data includes information about how the hypervisor assigns and provides memory resources, processing resources, and storage resources for each of the plurality of queued virtual machines.

9. The method of claim 7 , further comprising:
determining, for a portion of hardware resources within a cluster of virtual machines, a combined summary risk, the combined summary risk representing combined data for two or more virtual machines in the cluster;
determining, that the combined summary risk is above a threshold indicated for pressure data pertaining to at least one calculated pressure index; and
reporting, with a report generator and for the cluster of virtual machines, a saturation risk assessment.

10. The method of claim 7 , wherein the capacity risk includes a saturation level pertaining to at least a portion of the hardware resources.

11. The method of claim 7 , wherein determining the capacity risk includes combining the days-to-saturation metric and an associated pressure index for a respective hardware resource.

12. A computer program product including instructions recorded on a non-transitory computer readable storage medium and configured, when executed by at least one processor, to cause the at least one processor to:
collect data about active operations of a hypervisor in assigning hardware resources to a plurality of queued virtual machines for use in execution of the plurality of virtual machines,
collect pressure data pertaining to maintaining a plurality of resource access queues implemented by the hypervisor, each resource access queue representing an ordered list for assigning one or more of the plurality of hardware resources to one or more of the plurality of virtual machines; and in response to determining, for the hypervisor that the pressure data indicates a pressure above a predefined threshold pertaining to one or more of the plurality of hardware resources, increase a capacity risk indicator for the hypervisor based on the determined amount of the pressure data above the predefined threshold, the pressure data being based on maintaining the plurality of resource access queues and on a rate of assignment of one or more of the hardware resources being assigned by the hypervisor,
wherein the capacity risk includes a saturation level pertaining to at least one of the plurality of resource access queues associated with virtual machines contributing to memory pressure and at least

Assignees

• Bmc Software Inc

Inventors

• Sivasubramanian Jeyashree
• Apte Sudheer

Classifications

• G06F9/5077

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

• G06F2201/815

  Virtual · CPC title

• G06F11/3452

  Performance evaluation by statistical analysis · CPC title

• G06F11/301

  where the computing system is a virtual computing platform, e.g. logically partitioned systems (virtual machines G06F9/45533; logical partitioning of resources G06F9/5077) · CPC title

• G06F11/30

  Monitoring · CPC title