virtualization (VCPU count according to CPU)

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# 1  
Old 11-09-2010
virtualization (VCPU count according to CPU)

We have purchased four intels xeon processors

IntelŽ XeonŽ Processor E7530 (12M Cache, 1.86 GHz, 5.86 GT/s IntelŽ QPI) with SPEC Code(s) SLBRJ

As per the specification each cpu has 6 cores therefore we have 24 cores (considering 4 cpus).
Now how would i calculate the number of vcpus that can be used while visualization?
This will help use to capacity planning.

Quote:
specification is as below.

IntelŽ XeonŽ Processor E7530
(12M Cache, 1.86 GHz, 5.86 GT/s IntelŽ QPI)
SPECIFICATIONS
Essentials
Status Launched
Launch Date Q1'10
Processor Number E7530
# of Cores 6
# of Threads 12
Clock Speed 1.866 GHz
Max Turbo Frequency 2.133 GHz
L3 Cache 12 MB
IntelŽ QPI Speed 5.86 GT/s
Embedded Options Available
No
Supplemental SKU No
Max TDP 105 W
VID Voltage Range 0.675V-1.35V
Tray 1ku Budgetary Price $1446.00
Package Specifications
TCASE 64°C
Sockets Supported FCLGA1567
Halogen Free Options Available Yes
Advanced Technologies
IntelŽ Turbo Boost Technology
Yes
IntelŽ Hyper-Threading Technology
Yes
IntelŽ Virtualization Technology (VT-x)
Yes
IntelŽ 64
Yes
Enhanced Intel SpeedStepŽ Technology
Yes
Execute Disable Bit Yes
# 2  
Old 11-10-2010
There's no hard rule on this. Some people over commit.. so the sum total of VM resources is greater than actual physical resources. Usually, one place where this is done is with regards to CPUs. BUT... if your VMs REALLY need a whole bunch of CPU resources, it's possible that you'll reach the limits of what you can actually give and have a "good" performing platform. IMHO, it's pretty safe to say that we waste about 50% of CPU resources (in general, the number is usually much, much higher). So you could use that for a very conservative number of total CPUs you can dole out. And don't discount the hyperthreads... they do help out as well...

If your plan is to virtualize large scale servers (e.g. 4 CPUs + 8G+ memory) ... I think that's a BAD plan. Virtualization is most effective when talking about smaller footprint machines. Then the scalability can be VERY large.. and you can really over commit (but again, there is no RULE).
 

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