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Windows 2008 terminal server on Hyper V

Posted on 2010-09-15
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Hi,

I have a windows 2008 32 bit terminal sevrer running on a 64 bit hyper v server.

My users are complaining that when accessing application via a virtual app, that the application is quite slugish and sticky (In their words)

I have noticed from the resource monitor that disk and network activity is quite high most of the time? What is the best way to combat this?

The applications are installed on the C: drive, i have just moved the pagfile to a different drive to try and help issues? Will this assist?

What impact is there by having another virtual server using the IDE controler hard disk on a different location?

I only have a 100mb network.
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Question by:monarchit
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by:monarchit
ID: 33680382
I have noticed the avg.disk Bytes/Write peaks around the 80% mark?

The application in question is running on 2 72gb 10k mirrored drives which the O/S resides on. I only have 4 people connecting currently though this application
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by:Emptyone
ID: 33680890
How much memory have you given the VM? How much memory does the VM use?
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by:monarchit
ID: 33680904
i have given it 6Gb and it is only using about 3Gb
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by:Darius Ghassem
ID: 33681933
You should not give the Guest 6 GB of memory since it is a 32-bit system.

Run through this link.

http://www.experts-exchange.com/OS/Microsoft_Operating_Systems/Server/Windows_Server_2008/Q_26176031.html

Go through on Host and Guest
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Darius Ghassem earned 500 total points
ID: 33682668
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by:dax_bad
ID: 33686336
How many VM's are running on that Hyper V server?

It might be the disk subsystem causing the server to struggle. So check the disk queue lengths for the C drive on the server having a problem AND on the hyper V host. If you see avg disk queue lengths spike on both the Host and the guest OS you have a serious problem, if only on the guest system the problem is isolated to OS performance of the guest.

We've had similar disk I/O problems with the earlier versions of Hyper V (SP1 & SP2), but not with R2 and we have 300 VM's running on 4 big clusters

Cheers
Daniel.
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