Tag Archives: Planning

PAVMUG Session – Optimal Designs for vSphere 5 Licensing

The PAVMUG session on Sept 22nd, 2011 that seemed to have the second most active audience was the session where I discussed vSphere 5 licensing and some of the design considerations. There were several good questions that I would like to re-address here and share some helpful links that I promised during the session. There is a great PowerCLI script and a tool that VMware themselves offer.

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Is Your Blade Ready for Virtualization? Part 2 – Real Numbers

OK, so my last post brought on a blizzard of remarks questioning some of the validity of the data presented. I used what I was told during a presentation was a “Gartner recommended” configuration for a VM. My error was that I could not find this recommendation anywhere, but the sizing seems fairly valid, so I went with it. I went back to some of the assessments I have done and took data from about 2,000 servers to come up with some more real-world averages. I wanted to post these averages tonight. Remember what I said previously: This is just a set of numbers. You must ASSESS and DESIGN your virtual infrastructure properly. This is only a small piece of it.

I apologize for the images instead of tables, but I spent way too long trying to get tables to lay out properly in WordPress. Click on the images for larger views. I can post the raw data if someone wants to look at it, but I have to work on stripping away proprietary data first.  So, here we go:

Data Summary

If you have ever done a Virtualization Assessment, you will recognize this from the summary page of the workbook. We are going to look at data from 1956 servers. Average RAM usage is about 2069MB. Average CPU utilization is about 5.2%. Average network is about 31KB/s.

Performance Summary

From the same page in the workbook. From this chart, we see that the average ALLOCATED RAM is about 4342MB and the average FREE RAM is about 2273MB. This is where we get the average RAM usage from above.

Raw Data Averages

This is the averages calculated for each row in the raw data summary.

Storage Summary Report

This final chart is from a storage summary report. Average disk read bytes per sec (442,00) + average write bytes per sec (200,000) is about 600,000 bytes. So, total I/O bytes is about 632,000 (600,000 storage + 32,000 network). I used Google to convert this to gigabits: 632 000 bytes = 0.00470876694 gigabits. This is WAY less than the 0.3Gb recommended. So, here is my calculated AVERAGE VM sizing:

  • RAM = 2GB
  • I/O = 0.005Gb
  • Network I/O = 0.0002 Gb
  • Storage I/O = 0.004 Gb

I am not going to claim that this is my recommendation for a VM configuration, because it isn’t. My recommendation is still and will always be to ASSESS YOUR UNIQUE ENVIRONMENT and come up with your own data. I am not going to redo my previous post with these numbers because it is pointless. The intent of the previous post was to come up with a number of VMs in a chassis or rack based on a set of criteria. I also wanted to show a comparison of capabilities of each blade. If I use the numbers from this post, it will only show that each blade in question is capable of hosting even more VMs.

Is Your Blade Ready for Virtualization? A Math Lesson.

I attended the second day of the HP Converged Infrastructure Roadshow in NYC last week. Most of the day was spent watching PowerPoints and demos for the HP Matrix stuff and Virtual Connect. Then came lunch. I finished my appetizer and realized that the buffet being set up was for someone else. My appetizer was actually lunch! Thanks God there was cheesecake on the way…

There was a session on unified storage, which mostly covered the LeftHand line. At one point, I asked if the data de-dupe was source based or destination based. The “engineer” looked like a deer in the headlights and promptly answered “It’s hash based.” ‘Nuff said… The session covering the G6 servers was OK, but “been there done that.”

Other than the cheesecake, the best part of the day was the final presentation. The last session covered the differences in the various blade servers from several manufacturers. Even though I work for a company that sells HP, EMC and Cisco gear, I believe that x64 servers, from a hardware perspective, are really generic for the most part. Many will argue why their choice is the best, but most people choose a brand based on relationships with their supplier, the manufacturer or the dreaded “preferred vendor” status.  Obviously, this was an HP – biased presentation, but some of the math the Bladesystem engineer (I forgot to get his name) presented really makes you think.

Lets start with a typical configuration for VMs. He mentioned that this was a “Gartner recommended” configuration for VMs, but I could not find anything about this anywhere on line. Even so, its a pretty fair portrayal of a typical VM.

Typical Virtual Machine Configuration:

  • 3-4 GB Memory
  • 300 Mbps I/O
    • 100 Mbps Ethernet (0.1Gb)
    • 200 Mbps Storage (0.2Gb)

Processor count was not discussed, but you will see that may not be a big deal since most processors are overpowered for todays applications (I said MOST). IOps is not a factor either in these comparisons, that would be a factor of the storage system.

So, let’s take a look at the typical server configuration. In this article, we are comparing blade servers. But this is even typical for a “2U” rack server. He called this an “eightieth percentile” server, meaning it will meet 80% of the requirements for a server.

Typical Server Configuration:

  • 2 Sockets
    • 4-6 cores per socket
  • 12 DIMM slots
  • 2 Hot-plug Drives
  • 2 Lan on Motherboard (LOM)
  • 2 Mezzanine Slots (Or PCI-e slots)

Now, say we take this typical server and load it with 4GB or 8GB DIMMs. This is not a real stretch of the imagination. It gives us 48GB of RAM. Now its time for some math:

Calculations for a server with 4GB DIMMs:

  • 48GB Total RAM ÷ 3GB Memory per VM = 16 VMs
  • 16 VMs ÷ 8 cores = 2 VMs per core
  • 16 VMs * 0.3Gb per VM = 4.8 Gb I/O needed (x2 for redundancy)
  • 16 VMs * 0.1Gb per VM = 1.6Gb Ethernet needed (x2 for redundancy)
  • 16 VMs * 0.2Gb per VM = 3.2Gb Storage needed (x2 for redundancy)

Calculations for a server with 8GB DIMMs:

  • 96GB Total RAM ÷ 3GB Memory per VM = 32 VMs
  • 32 VMs ÷ 8 cores = 4 VMs per core
  • 32 VMs * 0.3Gb per VM = 9.6Gb Ethernet needed (x2 for redundancy)
  • 32 VMs * 0.1Gb per VM = 3.2Gb Ethernet needed (x2 for redundancy)
  • 32 VMs * 0.2Gb per VM = 6.4Gb Storage needed (x2 for redundancy)

Are you with me so far? I see nothing wrong with any of these yet.

Now, we need to look at the different attributes of the blades:

2009-12-31_112613

* The IBM LS42 and HP BL490c Each have 2 internal non-hot plug drive slots

The “dings” against each:

  • Cisco B200M1 has no LOM and only 1 mezzanine slot
  • Cisco B250M1 has no LOM
  • Cisco chassis only has one pair of I/O modules
  • Cisco chassis only has four power supplies – may cause issues using 3-phase power
  • Dell M710 and M905 have only 1GbE LOMs (Allegedly, the chassis midplane connecting the LOMs cannot support 10GbE because they lack a “back drill.”)
  • IBM LS42 has only 1GbE LOMs
  • IBM chassis only has four power supplies – may cause issues using 3-phase power

Now, from here, the engineer made comparisons based on loading each blade with 4GB or 8GB DIMMs. Basically, some of the blades would not support a full complement of VMs based on a full load of DIMMS. What does this mean? Don’t rush out and buy blades loaded with DIMMs or your memory utilization could be lower than expected. What it really means is that you need to ASSESS your needs and DESIGN an infrastructure based on those needs. What I will do is give you a maximum VMs per blade and per chassis. It seems to me that it would make more sense to consider this in the design stage so that you can come up with some TCO numbers based on vendors. So, we will take a look at the maximum number of VMs for each blade based on total RAM capability and total I/O capability. The lower number becomes the total possible VMs per blade based on overall configuration. What I did here to simplify things was take the total possible RAM and subtract 6GB for hypervisor and overhead, then divide by 3 to come up with the amount of 3GB VMs I could host. I also took the size specs for each chassis and calulated the maximum possible chassis per rack and then calculated the number of VMs per rack. The number of chassis per rack does not account for top of rack switches. If these are needed, you may lose one chassis per rack most of the systems will allow for an end of row or core switching configuration.

Blade Calculations

One thing to remember is this is a quick calculation. It estimates the amount of RAM required for overhead and the hypervisor to be 6GB. It is by no means based on any calculations coming from a real assessment. The reason why the Cisco B250M1 blade is capped at 66 VMs is because of the amount of I/O it is capable of supporting. 20Gb redundant I/O ÷ 0.3 I/O per VM = 66 VMs.

I set out in this journey with the purpose of taking the ideas from an HP engineer and attempted as best as I could to be fair in my version of this presentation. I did not even know what the outcome would be, but I am pleased to find that HP blades offer the highest VM per rack numbers.

The final part of the HP presentation dealt with cooling and power comparisons. One thing that I was surprised to hear, but have not confirmed, is that the Cisco blades want to draw more air (in CFM) than one perforated tile will allow. I will not even get into the “CFM pre VM” or “Watt per VM” numbers, but they also favored HP blades.

Please, by all means challenge my numbers. But back them up with numbers yourself.

Cisco B200M1 Cisco B250M1 Dell M710 Dell M905 IBM LS42 HP BL460c HP BL490c HP BL685c
Max RAM 4GB DIMMs 48 192 72 96 64 48 72 128
Total VMs Possible 16 64 24 32 21 16 24 42
Max RAM 8GB DIMMs 96 384 144 192 128 96 144 256
Total VMs Possible 32 128 48 64 42 32 48 85
Max Total Redundant I/O 10 20 22 22 22 30 30 60
Total VMs Possible 33 66 72 73 73 100 100 200
Max VM per Blade (4GB DIMMs) 16 64 24 32 21 16 24 42
Max VM per Chassis (4GB DIMM) 128 256 192 256 147 256 384 336
Max VM per Blade (8GB DIMMs) 32 66 48 64 42 32 48 85
Max VM per Chassis (8GB DIMM) 256 264 384 512 294 512 768 680