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https://issues.apache.org/jira/browse/CLOUDSTACK-3664?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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prashant kumar mishra updated CLOUDSTACK-3664:
----------------------------------------------

    Description: 
steps to reproduce
================
1-prepare a CS setup  with xen 6.1
2-set "cluster.memory.allocated.capacity.disablethreshold" to some lower value 
say 0.2
3-deploy some vms  until unless deployment fails because of threshold value.

4-Try to scale up  vms

Expected
--------------
scaling up should get failed  because  threshold value

Actual
----------
scaling up is successful 


  was:
steps to reproduce
================
1-prepare a CS setup  with xen 6.1
2-set "cluster.memory.allocated.capacity.disablethreshold" to some lower value 
say 0.2
3-deploy some vms  until unless deployment fails because of threshold value.

4-try to scaleup  vms

Expected
--------------
scaling up should get failed  because  threshold value

Actual
----------
scaling up is successful 


    
> scaling up vm is not considering cluster  parameter 
> "cluster.(memory/cpu).allocated.capacity.disablethreshold"
> --------------------------------------------------------------------------------------------------------------
>
>                 Key: CLOUDSTACK-3664
>                 URL: https://issues.apache.org/jira/browse/CLOUDSTACK-3664
>             Project: CloudStack
>          Issue Type: Bug
>      Security Level: Public(Anyone can view this level - this is the 
> default.) 
>          Components: Management Server
>         Environment: xen 4.2
>            Reporter: prashant kumar mishra
>         Attachments: Logs_DB.rar
>
>
> steps to reproduce
> ================
> 1-prepare a CS setup  with xen 6.1
> 2-set "cluster.memory.allocated.capacity.disablethreshold" to some lower 
> value say 0.2
> 3-deploy some vms  until unless deployment fails because of threshold value.
> 4-Try to scale up  vms
> Expected
> --------------
> scaling up should get failed  because  threshold value
> Actual
> ----------
> scaling up is successful 

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