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https://issues.apache.org/jira/browse/CLOUDSTACK-658

Branch

master4.2.0 onwards

Introduction

It is not always possible to exactly identify the CPU and RAM requirements at the time of deploying a VM. But for various reasons it may be required to scale up these resources later on. At that time there is no other way but to restart the VM with increased resources. Dynamic scaling for CPU and RAM feature would allow to change these resources for a running VM avoiding any downtime.

Currently CS allows updating CPU/RAM by changing to a different compute offering for stopped VMs. This feature will enable the same for running VMs.

Purpose

This document describes the specifications and design of the feature.

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  • relevant links

Document History

Glossary

Feature Specifications

  • Ability to scale up CPU and/or RAM for running user VMs based on predefined compute offerings
  • Ability to scale up CPU and/or RAM for running system VMs based on predefined system compute offerings
  • If scaling up requires a migration it will be limited within the cluster only - if the current host where VM is running has capacity then simply the resources will be scaled up, if not live migration will be done within the cluster and then resources will be scaled up. If no suitable host is found operation will fail. In future if live migration across clusters is possible then this constraint can be relaxed.
  • Ability to mark the VM for scale up at creation time (see open issue#1)
  • Ability to scale down CPU and/or RAM (see open issue#2)
  • No check for guest OS compatibility (can be considered only if there is a concise document/API listing for supported guest OS's for each hypervisor)
  • Only supported for newly created VMs, existing VMs (from prior CS releases) won't have the capability to scale up. To make it work for existing VMs we need to the update VM using "updateVirtualMachine" API as explained in "Web services APIs" section.
  • Ability to scale system vms (only for VMware). We do not support System vm scaling for xenserver as the system template for xenserver does not have XS tools to support hot add memory/cpu inside OS.

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  • new dynamic max (y) <= static max and  
  • new dynamic min (y / memory_overprovisioning_of_cluster) >= static min.

Further reading 

Vmware

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DeployVmCmd - 
During the initial deployment of the VM we enable the flags hotAddCpu and hotAdd memory true. These flags will be turned on if the guest OS supports it. Read http://partnerweb.vmware.com/comp_guide2/pdf/VMware_GOS_Compatibility_Guide.pdf

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  • There is also an option of having a custom compute offering where user can specify values for CPU and RAM during deployment or scaling up. But am not sure if this option can be misused since this is a user level API. Another complexity is to capture usage. Currently it is done based on compute offering.

Test cases

TBD

Appendix

Appendix A:

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