Archive for the ‘Intel’ Category

h1

vSphere 4 Update 2 Released

June 11, 2010

VMware vSphere 4, Update 2 has been released with the following changes to ESXi:

The following information provides highlights of some of the enhancements available in this release of VMware ESXi:

  • Enablement of Fault Tolerance Functionality for Intel Xeon 56xx Series processors— vSphere 4.0 Update 1 supports the Intel Xeon 56xx Series processors without Fault Tolerance. vSphere 4.0 Update 2 enables Fault Tolerance functionality for the Intel Xeon 56xx Series processors.
  • Enablement of Fault Tolerance Functionality for Intel i3/i5 Clarkdale Series and Intel Xeon 34xx Clarkdale Series processors— vSphere 4.0 Update 1 supports the Intel i3/i5 Clarkdale Series and Intel Xeon 34xx Clarkdale Series processors without Fault Tolerance. vSphere 4.0 Update 2 enables Fault Tolerance functionality for the Intel i3/i5 Clarkdale Series and Intel Xeon 34xx Clarkdale Series processors.
  • Enablement of IOMMU Functionality for AMD Opteron 61xx and 41xx Series processors— vSphere 4.0 Update 1 supports the AMD Opteron 61xx and 41xx Series processors without input/output memory management unit (IOMMU). vSphere 4.0 Update 2 enables IOMMU functionality for the AMD Opteron 61xx and 41xx Series processors.
  • Enhancement of the resxtop utility— vSphere 4.0 U2 includes an enhancement of the performance monitoring utility, resxtop. The resxtop utility now provides visibility into the performance of NFS datastores in that it displays the following statistics for NFS datastores: Reads/swrites/sMBreads/sMBwrtn/scmds/sGAVG/s (guest latency).
  • Additional Guest Operating System Support— ESX/ESXi 4.0 Update 2 adds support for Ubuntu 10.04. For a complete list of supported guest operating systems with this release, see the VMware Compatibility Guide.

Resolved Issues In addition, this release delivers a number of bug fixes that have been documented in theResolved Issues section.

ESXi 4 Update 2 Release Notes

Noted in the release is the official support for AMD’s IOMMU in Opteron 6100 and 4100 processors – available in 1P, 2P and 4P configurations. This finally closes the (functional) gap between AMD Opteron and Intel’s Nehalem line-up. Likewise, FT support for many new Intel processors has been added. Also, the addition of NFS performance counters in ESXTop will make storage troubleshooting a bit easier. Grab you applicable update at VMware’s download site now (SnS required.)

h1

Quick Take: IBM Tops VMmark, Crushes Record with 4P Nehalem-EX

April 7, 2010

It was merely a matter of time before one of the new core-rich titans – the Intel’s 8-core “Beckton” Nehalem-EX (Xeon 7500) or AMD’s 12-core “Magny-Cours” (Opteron 6100) – was to make a name for itself on VMware’s VMmark benchmark. Today, Intel draws first blood in the form of an 4-processor, 32-core, 64-thread, monster from IBM: the x3850 X5 running four Xeon X7560 (2.266GHz – 2.67GHz w/turbo, 130W TDP, each) and 384GB of DDR3-1066 low-power registered DIMMs. Weighing-in at 70.78@48 tiles, the 4P IBM System x3850 handily beats the next highest system – the 48-core DL785 G5 which set the record of 53.73@35 tiles back in August, 2009 – and bests it by over 30%.

At $3,800+ per socket for the tested Beckton chip, this is no real 2P alternative. In fact, a pair of Cisco UCS B250 M2 blades will get 52 tiles running for much less money. Looking at processor and memory configurations alone, this is a $67K+ enterprise server, resulting in a moderately-high $232/VM price point for the IBM x3850 X5.

SOLORI’s Take: The most interesting aspect of the EX benchmark is its clock-adjusted scaling factor: between 70% and 91% versus a 2P/8-core Nehalem-EP reference (Cisco UCS, B200 M1, 25.06@17 tiles). The unpredictable nature of Intel’s “turbo” feature – varying with thermal loads and per-core conditions – makes an exact clock-for-clock comparison difficult. However, if the scaling factor is 90%, the EX blows away our previous expectations about the platform’s scalability. Where did we go wrong when we predicted a conservative 44@39 tiles? We’re looking at three things: (1) a bad assumption about the effectiveness of “turbo” in the EP VMmark case (setting Ref_EP_Clock to 3.33 GHz), and (2) underestimating EX’s scaling efficiency (assumed 70%), (3) assuming a 2.26GHz clock for EX.

Chosing our minimum QPI/HT3 scalability factor of 75%, the predicted performance was derived this way from HP Proliant BL490 G6 as a baseline:

Est. Tiles = EP_Tiles_per_core( 2.13 ) * 32 cores * Scaling_Efficiency( 75% ) * EX_Clock( 2.26 ) / EP_Clock( 2.93 ) = 39 tiles

Est. Score = Est_Tiles( 40 ) * EP_Score_per_Tile( 1.43 ) * Est_EX_Clock( 2.26 ) / Ref_EP_Clock( 2.93 ) = 44.12

Est. Nehalem-EX VMmark -> 44.12@39 tiles

Correcting for the as-tested clock/turbo numbers, and using AMD’s 2P-to-4P VMmark scaling efficiency of 83%, and shifting to the new UCS baseline (with newer ESX version) the Nehalem-EX prediction factors to:

Est. Tiles = EP_Tiles_per_core( 2.13 ) * 32 cores * Scaling_Efficiency( 83% ) * EX_Clock( 2.67 ) / EP_Clock( 2.93 ) = 51 tiles

Est. Score = Est_Tiles( 51 ) * EP_Score_per_Tile( 1.47 ) * Est_EX_Clock( 2.67 ) / Ref_EP_Clock( 2.93 ) = 68.32

Est. Nehalem-EX VMmark -> 68.3@51 tiles

Clearly, this approach either overestimates the scaling efficiency or underestimates the “turbo” mode. IBM claims that a 2.93 GHz “turbo” setting is viable where Intel suggests 2.67 GHz is the maximum, so there is a source of potential bias. Looking at the tiles-per-core ratio of the VMmark result, the Nehalem-EX drops from 2.13 tiles per core on EP/2P platforms to 1.5 tiles per core on EX/4P platforms – about a 30% drop in per-core loading efficiency. That indicator matches well with our initial 75% scaling efficiency moving from 2P to 4P – something that AMD demonstrated with Istanbul last August. Given the high TDP of EX and IBM’s 2.93 GHz “turbo” specification, it’s possible that “turbo” is adding clock cycles (and power consumption) and compensating for a “lower” scaling efficiency than we’ve assumed. Looking at the same estimation with 2.93GHz “clock” and 71% efficiency (1.5/2.13), the numbers fall in line with VMmark:

Est. Tiles = EP_Tiles_per_core( 2.13 ) * 32 cores * Scaling_Efficiency( 71% ) * EX_Clock( 2.93 ) / EP_Clock( 2.93 ) = 48 tiles

Est. Score = Est_Tiles( 48 ) * EP_Score_per_Tile( 1.47 ) * Est_EX_Clock( 2.93 ) / Ref_EP_Clock( 2.93 ) = 70.56

Est. Nehalem-EX VMmark -> 70.56@48 tiles

This give us a good basis for evaluating 2P vs. 4P Nehalem systems: scaling factor of 71% and capable of pushing clock towards the 3GHz mark within its thermal envelope. Both of these conclusions fit typical 2P-to-4P norms and Intel’s process history.

SOLORI’s 2nd Take: So where does that leave AMD’s newest 12-core chip? To date, no VMmark exists for AMD’s Magny-Cours, and AMD chips tend not to do as well in VMmark as their Intel peers do to the benchmarks SMT-friendly loads. However, we can’t resist using the same analysis against AMD/MC’s 2.4GHz Opteron 6174SE (theoretical) using the 2P HP DL385 G6 as a baseline for core loading and the HP DL785 G6 for tile performance (best of the best cases):

Est. Tiles = HP_Tiles_per_core( 0.92 ) * 48 cores * Scaling_Efficiency( 83% ) * MC_Clock( 2.3 ) / HP_Clock( 2.6 ) = 33 tiles

Est. Score = Est_Tiles( 34 ) * HP_Score_per_Tile( 1.54 ) * Est_MC_Clock( 2.3 ) / Ref_HP_Clock( 2.8 ) = 41.8

Est. 4P Magny-Cours VMmark -> 41.8@33 tiles

That’s nowhere near good enough to top the current 8P, 48-core Istanbul VMmark at 53.73@35 tiles, so we’ll likely have to wait for faster 6100 parts to see any new AMD records. However, assuming AMD’s proposition is still “value 4P” so about 200 VM’s at under $18K/server gets you around $90/VM or less.

h1

UCS and VCE vBlock Type 1 Challenge Top VMmark

January 13, 2010

VMmark "Tile" Loads

Last November we reported on the Fujitsu RX300 S5 rack server taking the top VMmark spot for 8-core systems. Yesterday (January 11, 2010) Cisco’s UCS B200-M1 using VMware ESX 4.0 (build 164009) came within 0.5% of the top spot with a score of 25.06@17 tiles. While falling only slightly short of the mark set by the brute force RX300/DX80 combo, the UCS system did so with a very different solution, unsurprisingly similar to the vBlock Type 1 architecture described by Chad Sakacc in his blog post about the VMware, Cisco and EMC alliance.

Given that VMmark is a single node test harness, the difference between rack server and blade server architectures is a non-issue. However, more than just rack vs. blade is going on in this comparison. The Cisco UCS system is being fed by a pair of 10GE converged network adapters – used both for host network access and Fiber Channel bus access – and a monolithic storage array in the guise of a CLARiiON CX4-240 complete with a complement of 20, 73GB STEC SSD’s – just to sweeten the pot.

VMmark Network Configuration for the UCS B200-M1

While it is clear from past VMmark posts that the network speed (beyond 1Gbps) has little to do with the results, it is nice to see the confidence Cisco has in the CNA approach (Cisco UCS M71KR-Q) to go with the “eggs in a basket” solution. Given the storage demands on the CNA, the VMmark result should remove any doubt about the viability (performance) of high-capacity tandems (we’ll leave the physical link security concerns for another day.)

However, where the “rubber meets the road” in this contest is storage I/O and this solution – in our opinion is just plain showing off. With just 41 disks to build from, the CX4-240 has been configured to deliver 37 LUNs – nearly one LUN per unit disk. Before any awards are given out for storage of the year, we need to consider that 36 of those LUNs are RAID0 – yielding a testing platform with no real-world analog (hence “showing off”.)

CLARiiON CX4-240 Storage Build-out for UCS B200-M1 VMmark

Given the ease at which RAID0 can be replaced by RAID1+0, it may be safe to assume that the same results could have been obtained by using 77 disks instead of 41 – at which point the CX4-240 would still be less than half the size of the top VMmark’s 172-disk solution. The reason is clear: SSD’s accelerate I/O loads incredibly well in architectures that support them. If anything, this “runner-up” proves that SSD adoption is on the verge of becoming mainstream.

But what does this test show about UCS? Firstly, it shows that Cisco’s platform can compete with the best solutions out there on CPU and I/O performance (what’s a half a percentage point across 102 virtual machines?) It’s not really a surprise given that the UCS platform was designed to do just that – and within a neatly managed framework. Secondly, it shows that the choice of EMC as a partner was an excellent one. As Martin Glassborow commented on his Storagebod’s Blog, EMC’s involvement in VMware has energized the storage vendor to take bold and innovative steps towards Cloud Computing solutions that it might not have done otherwise (like the RAID0 SSD array). Thirdly and most importantly, it underscores the importance of predictable performance in a virtualization solution. Given the UCS/vBlock approach to systems organization, it can be very difficult not to draw solid parallels between the benchmarks and expectations for net new builds based on the criterion.

h1

Quick Take: Year-end DRAM Price Follow-up, Thoughts on 2010

December 30, 2009

Looking at memory prices one last time before the year is out and prices of our “benchmark” Kingston DDR3 server DIMMs are on the decline. While the quad rank 8G DDR3/1066 DIMMs are below the $565 target price (at $514) we predicted back in August, the dual rank equivalent (on our benchmark list) are still hovering around $670 each. Likewise, while retail price on the 8G DDR2/667 parts continue to rise, inventory and promotional pricing has managed to keep them flat at $433 each, giving large foot print DDR2 systems a $2,000 price advantage (based on 64GB systems).

Benchmark Server (Spot) Memory Pricing – Dual Rank DDR2 Only
DDR2 Reg. ECC Series (1.8V) Price Jun ’09 Price Sep ’09 Price
Dec ’09

KVR800D2D4P6/4G
4GB 800MHz DDR2 ECC Reg with Parity CL6 DIMM Dual Rank, x4
(5.400W operating)
$100.00 $117.00
up 17%
$140.70
up 23%

(Promo price, retail $162)

KVR667D2D4P5/4G
4GB 667MHz DDR2 ECC Reg with Parity CL5 DIMM Dual Rank, x4 (5.940W operating)
$80.00 $103.00
up 29%
$97.99
down 5%

(retail $160)

KVR667D2D4P5/8G
8GB 667MHz DDR2 ECC Reg with Parity CL5 DIMM Dual Rank, x4 (7.236W operating)
$396.00 $433.00 $433.00

(Promo price, retail $515)
Benchmark Server (Spot) Memory Pricing – Dual Rank DDR3 Only
DDR3 Reg. ECC Series (1.5V) Price Jun ’09 Price Sep ’09 Price
Dec ’09

KVR1333D3D4R9S/4G
4GB 1333MHz DDR3 ECC Reg w/Parity CL9 DIMM Dual Rank, x4 w/Therm Sen (3.960W operating)
$138.00 $151.00
up 10%

$135.99

down 10%

KVR1066D3D4R7S/4G
4GB 1066MHz DDR3 ECC Reg w/Parity CL7 DIMM Dual Rank, x4 w/Therm Sen (5.09W 5.085W operating)
$132.00 $151.00
up 15%
$137.59
down 9%(retail $162)

KVR1066D3D4R7S/8G
8GB 1066MHz DDR3 ECC Reg w/Parity CL7 DIMM Dual Rank, x4 w/Therm Sen (6.36W 4.110W operating)
$1035.00 $917.00
down 11.5%
$667.00
down 28%

(avail. 1/10)

As the year ends, OEMs are expected to “pull up inventory,” according to DRAMeXchange, in advance of a predicted market short fall somewhere in Q2/2010. Demand for greater memory capacities are being driven by Windows 7 and 64-bit processors with 4GB as the well established minimum system foot print ending 2009. With Server 2008 systems demanding 6GB+ and increased shift towards large memory foot print virtualization servers and blades, the market price for DDR3 – just turning the corner in Q1/2010 versus DDR2 – will likely flatten based on growing demand.

SOLORI’s Take: With Samsung and Hynix doubling CAPEX spending in 2010, we’d be surprised to see anything more than a 30% drop in retail 4GB and 8GB server memory by Q3/2010 given the anticipated demand. That puts 8G DDR3/10666 at $470/stick versus $330 for 2x 4GB and on track with August 2009 estimates. The increase in compute, I/O and memory densities in 2010 will be market changing and memory demand will play a small (but significant) role in that development.

In the battle to “feed” the virtualization servers of 2H/2010, the 4-channel “behemoth” Magny-Cours system could have a serious memory/price advantage with 8 (2-DPC) or 12 (3-DPC) configurations of 64GB (2.6GB/thread) and 96GB (3.9GB/thread) DDR3/1066 using only 4GB sticks (assumes 2P configuration). Similar GB/thread loads on Nehalem-EP6 “Gulftown” (6-core/12-thread) could be had with 72GB DDR3/800 (18x 4GB, 3-DPC) or 96GB DDR3/1066 (12x 8GB, 2-DPC), providing the solution architect with a choice between either a performance (memory bandwidth) or price (about $2,900 more) crunch. This means Magny-Cours could show a $2-3K price advantage (per system) versus Nehalem-EP6 in $/VM optimized VDI implementations.

Where the rubber starts to meet the road, from a virtualization context, is with (unannounced) Nehalem-EP8 (8-core/16-thread) which would need 96GB (12x 8GB, 2-DPC) to maintain 2.6GB/thread capacity with Magny-Cours. This creates a memory-based price differential – in Magny-Cours’ favor – of about $3K per system/blade in the 2P space. At the high-end (3.9GB/thread), the EP8 system would need a full 144GB (running DDR3/800 timing) to maintain GB/thread parity with 2P Magny-Cours – this creates a $5,700 system price differential and possibly a good reason why we’ll not actually see an 8-core/16-thread variant of Nehalem-EP in 2010.

Assuming that EP8 has 30% greater thread capacity than Magny-Cours (32-threads versus 24-threads, 2P system), a $5,700 difference in system price would require a 2P Magny-Cours system to cost about $19,000 just to make it an even value proposition. We’d be shocked to see a MC processor priced above $2,600/socket, making the target system price in the $8-9K range (24-core, 2P, 96GB DDR3/1066). That said, with VDI growth on the move, a 4GB/thread baseline is not unrealistic (4 VM/thread, 1GB per virtual desktop) given current best practices. If our numbers are conservative, that’s a $100 equipment cost per virtual desktop – about 20% less than today’s 2P equivalents in the VDI space. In retrospect, this realization makes VMware’s decision to license VDI per-concurrent-user and NOT per socket a very forward-thinking one!

Of course, we’re talking about rack servers and double-size and non-standard blades here: after all, where can we put 24 DIMM slots (2P, 3-DPC, 4-channel memory) on a SFF blade? Vendors will have a hard enough time with 8-DIMM per processor (2P, 2-DPC, 4-channel memory) configurations today. Plus, all that dense compute and I/O will need to get out of the box somehow (10GE, IB, etc.) It’s easy to see that HPC and virtualization platforms demands are converging, and we think that’s good for both markets.

SOLORI’s 2nd Take: Why does 8GB of DRAM require less than 4GB at the same speed and voltage??? The 4GB stick is based on 36x 256M x 4-bit DDR3-1066 FBGA’s (60nm) and the 8GB stick is based on 36x 512M x 4-bit DDR3-1066 FBGA’s (likely 50nm). According to SAMSUNG, the smaller feature size offers nearly 40% improvement in power consumption (per FBGA). Since the sticks use the same number of FBGA components (1Gb vs 2Gb), the 20% power savings seems reasonable.

The prospect of lower power at higher memory densities will drive additional market share to modules based on 2Gb DRAM modules. The gulf between DDR2 will continue to expand as tooling shifts to majority-DDR3 production and the technology. While minority leader Hynix announced a 50nm 2Gb DDR2 part earlier this year (2009), the chip giant Samsung continues to use 60-nm for its 2Gb DDR2. Recently, Hynix announced a successful validation of its 40-nm class 2Gb DDR3 module operating at 1333MHz and saving up to 40% power from the 50nm design. Similarly, Samsung’s leading the DRAM arms race with 30nm, 4Gb DDR3 production which will show-up in 1.35V, 16GB UDIMM and RDIMM in 2010 offering additional power saving benefits over 40-50nm designs. Meanwhile, Samsung has all but abandoned advances on DDR2 feature sizes.

The writing is on the wall for DDR2 systems: unit costs are rising, demand is shrinking, research is stagnant and a new wave of DDR3-based hardware is just over the horizon (1H/2010). While these things will show the door to DDR2-based systems (which enjoyed a brief resurgence in 2009 due to DDR3 supply problems and marginal power differences) as demand and DDR3 advantages heat-up in later 2010, it’s kudos to AMD for calling the adoption curve, spot on!

h1

NEC Offers “Dunnington” Liposuction, Tops 64-Core VMmark

November 19, 2009

NEC’s venerable Express5800/A1160 is back at the top VMmark chart, this time establishing the brand-new 64-core category with a score of 48.23@32 tiles – surpassing its 48-core 3rd place posting by over 30%. NEC’s new 16-socket, 64-core, 256GB “Dunnington” X7460 Xeon-based score represents a big jump in performance over its predecessor with a per tile ratio of 1.507 – up 6% from the 48-core ratio of 1.419.

To put this into perspective, the highest VMmark achieved, to date, is the score of 53.73@35 tiles (tile ratio 1.535) from the 48-core HP DL785 G6 in August, 2009. If you are familiar with the “Dunnington” X7460, you know that it’s a 6-core, 130W giant with 16MB L2 cache and a 1000’s price just south of $3,000 per socket. So that raises the question: how does 6-cores X 16-sockets = 64? Well, it’s not pro-rationing from the Obama administration’s “IT fairness” czar. NEC chose to disable the 4th and 6th core of each socket to reduce the working cores from 96 to 64.

At $500/core, NEC’s gambit may represent an expensive form of “core liposuction” but it was a necessary one to meet VMware’s “logical processor per host” limitation of 64. That’s right, currently VMware’s vSphere places a limit on logical processors based on the following formula:

CPU_Sockets X Cores_Per_Socket X Threads_Per_Core =< 64

According to VMware, the other 32 cores would have been “ignored” by vSphere had they been enabled. Since “ignored” is a nebulous term (aka “undefined”), NEC did the “scientific” thing by disabling 32 cores and calling the system a 64-core server. The win here: a net 6% improvement in performance per tile over the 6-core configuration – ostensibly from the reduced core loading on the 16MB of L3 cache per socket and reduction in memory bus contention.

Moving forward to 2010, what does this mean for vSphere hardware configurations in the wake of 8-core, 16-thread Intel Nehalem-EX and 12-core, 12-thread AMD Magny-Cours processors? With a 4-socket Magny-Cours system limitation, we won’t be seeing any VMmarks from the boys in green beyond 48-cores. Likewise, the boys in blue will be trapped by a VMware limitation (albeit, a somewhat arbitrary and artificial one) into a 4-socket, 64-thread (HT) configuration or an 8-socket, 64-core (HT-disabled) configuration for their Nehalem-EX platform – even if using the six-core variant of EX. Looks like VMware will need to lift the 64-LCPU embargo by Q2/2010 just to keep up.

h1

Fujistu RX300 S5 Rack Server Takes 8-core VMmark Lead

November 11, 2009

Fujitsu’s RX300 S5 rack server takes the top spot in VMware’s VMmark for 8-core systems today with a score of 25.16@17 tiles. Loaded with two of Intel’s top-bin 3.33GHz, 130W Nehalem-EP processors (W5590, turbo to 3.6GHz per core) and 96GB of DDR3-1333 R-ECC memory, the RX300 bested the former champ – the HP ProLiant BL490c G6 blade – by only about 2.5%.

With 17 tiles and 102 virtual machines on a single 2U box, the RX300 S5 demonstrates precisely how well vSphere scales on today’s x86 commodity platforms. It also appears to demonstrate both the value and the limits of Intel’s “turbo mode” in its top-bin Nehalem-EP processors – especially in the virtualization use case – we’ll get to that later. In any case, the resulting equation is:

More * (Threads + Memory + I/O) = Dense Virtualization

We could have added “higher execution rates” to that equation, however, virtualization is a scale-out applications where threads, memory pool and I/O capabilities dominate the capacity equation – not clock speed. Adding 50% more clock provides less virtualization gains than adding 50% more cores, and reducing memory and context latency likewise provides better gains that simply upping the clock speed. That’s why a dual quad-core Nehalem 2.6GHz processor will crush a quad dual-core 3.5GHz (ill-fated) Tulsa.

Speaking of Tulsa, unlike Tulsa’s rather anaemic first-generation hyper-threading, Intel’s improved SMT in Nehalem “virtually” adds more core “power” to the Xeon by contributing up to 100% more thread capacity. This is demonstrated by Nehalem-EP’s 2 tiles per core contributions to VMmark where AMD’s Istanbul quad-core provides only 1 tile per core. But exactly what is a VMmark tile and how does core versus thread play into the result?

Single-Tile-Relationship

The Illustrated VMmark "Tile" Load

As you can see, a “VMmark Tile” – or just “tile” for short – is composed of 6 virtual machines, half running Windows, half running SUSE Linux. Likewise, half of the tiles are running in 64-bit mode while the other half runs in 32-bit mode. As a whole, the tile is composed of 10 virtual CPUs, 5GB of RAM and 62GB of storage. Looking at how the parts contribute to the whole, the tile is relatively balanced:

Operating System / Mode 32-bit 64-bit Memory vCPU Disk
Windows Server 2003 R2 67% 33% 45% 50% 58%
SUSE Linux Enterprise Server 10 SP2 33% 67% 55% 50% 42%
32-bit 50% N/A 30% 40% 58%
64-bit N/A 50% 70% 60% 42%

If we stop here and accept that today’s best x86 processors from AMD and Intel are capable of providing 1 tile for each thread, we can look at the thread count and calculate the number of tiles and resulting memory requirement. While that sounds like a good “rule of thumb” approach, it ignores specific use case scenarios where synthetic threads (like HT and SMT) do not scale linearly like core threads do where SMT accounts for only about 12% gains over single-threaded core, clock-for-clock. For this reason, processors from AMD and Intel in 2010 will feature more cores – 12 for AMD and 8 for Intel in their Magny-Cours and Nehalem-EX (aka “Beckton”), respectively.

Learning from the Master

If we want to gather some information about a specific field, we consult an expert, right? Judging from the results, Fujitsu’s latest dual-processor entry has definitely earned the title ‘Master of VMmark” in 2P systems – at least for now. So instead of the usual VMmark $/VM analysis (which are well established for recent VMmark entries), let’s look at the solution profile and try to glean some nuggets to take back to our data centers.

It’s Not About Raw Speed

First, we’ve noted that the processor used is not Intel’s standard “rack server” fare, but the more workstation oriented W-series Nehalem at 130W TDP. With “turbo mode” active, this CPU is capable of driving the 3.33GHz core – on a per-core basis – up to 3.6GHz. Since we’re seeing only a 2.5% improvement in overall score versus the ProLiant blade at 2.93GHz, we can extrapolate that the 2.93GHz X5570 Xeon is spending a lot of time at 3.33GHz – its “turbo” speed – while the power-hungry W5590 spends little time at 3.6GHz. How can we say this? Looking at the tile ratio as a function of the clock speed.

We know that the X5570 can run up to 3.33GHz, per core, according to thermal conditions on the chip. With proper cooling, this could mean up to 100% of the time (sorry, Google). Assuming for a moment that this is the case in the HP test environment (and there is sufficient cause to think so) then the ratio of the tile score to tile count and CPU frequency is 0.433 (24.54/17/3.33). If we examine the same ratio for the W5590, assuming the clock speed of 3.33GHz, we get 0.444 – a difference of 2.5%, or the contribution of “turbo” in the W5590. Likewise, if you back-figure the “apparent speed” of the X5570 using the ratio of the clock-locked W5590, you arrive at 3.25GHz for the W5570 (an 11% gain over base clock). In either case, it is clear that “turbo” is a better value at the low-end of the Nehalem spectrum as there isn’t enough thermal headroom for it to work well for the W-series.

VMmark Equals Meager Network Use

Second, we’re not seeing “fancy” networking tricks out of VMmark submissions. In the past, we’ve commented on the use of “consumer grade” switches in VMmark tests. For this reason, we can consider VMmark’s I/O dependency as related almost exclusively to storage. With respect to networking, the Fujitsu team simply interfaced three 1Gbps network adapter ports to the internal switch of the blade enclosure used to run the client-side load suite and ran with the test. Here’s what that looks like:

ESX-Network-Configuration

Networking Simplified: The "leaders" simple virtual networking topology.

Note that the network interfaces used for the VMmark trial are not from the on-board i82575EB network controller but from the PCI-Express quad-port adapter using its older cousin – the i82571EB. What is key here is that VMmark is tied to network performance issues, and it is more likely that additional network ports might increase the likelihood of IRQ sharing and reduced performance more so than the “optimization” of network flows.

Keeping Storage “Simple”

Third, Fujitsu’s approach to storage is elegantly simple: several “inexpensive” arrays with intelligent LUN allocation. For this, Fujistu employed eight of its ETERNUS DX80 Disk Storage Systems with 7 additional storage shelves for a total of 172 working disks and 23 LUNs. For simplicity, Fujistu used a pair of 8Gbps FC ports to feed ESX and at least one port per DX80 – all connected through a Brocade 5100 fabric switch. The result looked something like this:

ESX-Storage-Configuration

Fujitsu's VMmark Storage Topology: 8 Controllers, 7 Shelves, 172 Disks and 23 LUNs.

And yes, the ESX server is configured to boot from SAN, using no locally attached storage. Note that the virtual machine configuration files, VM swap and ESX boot/swap are contained in a separate DX80 system. This “non-default” approach allows the working VMDKs of the virtual machines to be isolated – from a storage perspective – from the swap file overhead, about 5GB per tile. Again, this is a benchmark scenario, not an enterprise deployment, so trade-offs are in favour of performance, not CAPEX or OPEX.

Even if the DX80 solution falls into the $1K/TB range, to say that this approach to storage is “economic” requires a deeper look. At 33 rack units for the solution – including the FC switch but not including the blade chassis – this configuration has a hefty datacenter footprint. In contrast to the old-school server/blade approach, 1 rack at 3 servers per U is a huge savings over the 2 racks of blades or 3 racks of 1U rack servers. Had each of those servers of blades had a mirror pair, we’d be talking about 200+ disks spinning in those racks versus the 172 disks in the ETERNUS arrays, so that still represents a savings of 15.7% in storage-related power/space.

When will storage catch up?

Compared to a 98% reduction in network ports, a 30-80% reduction server/storage CAPEX (based on $1K/TB SAN), a 50-75% reduction in overall datacenter footprint, why is a 15% reduction in datacenter storage footprint acceptable? After all, storage – in the Fujitsu VMmark case – now represents 94% of the datacenter footprint. Even if the load were less aggressively spread across five ESX servers (a conservative 20:1 loading), the amount of space taken by storage only falls to 75%.

How can storage catch up to virtualization densities. First, with 2.5″ SAS drives, a bank of 172 disks can be made to occupy only 16U with very strong performance. This drops storage to only 60% of the datacenter footprint – 10U for hypervisor, 16U for storage, 26U total for this example. Moving from 3.5″ drives to 2.5″ drives takes care of the physical scaling issue with acceptable returns, but results in only minimal gains in terms of power savings.

Saving power in storage platforms is not going to be achieved by simply shrinking disk drives – shrinking the NUMBER of disks required per “effective” LUN is what’s necessary to overcome the power demands of modern, high-performance storage. This is where non-traditional technology like FLASH/SSD is being applied to improve performance while utilizing fewer disks and proportionately less power. For example, instead of dedicating disks on a per LUN basis, carving LUNs out of disk pools accelerated by FLASH (a hybrid storage pool) can result in a 30-40% reduction in disk count – when applied properly – and that means 30-40% reduction in datacenter space and power utilization.

Lessons Learned

Here are our “take aways” from the Fujitsu VMmark case:

1) Top-bin performance is at the losing end of diminishing returns. Unless your budget can accommodate this fact, purchasing decisions about virtualization compute platforms need to be aligned with $/VM within an acceptable performance envelope. When shopping CPU, make sure the top-bin’s “little brother” has the same architecture and feature set and go with the unit priced for the mainstream. (Don’t forget to factor memory density into the equation…) Regardless, try to stick within a $190-280/VM equipment budget for your hypervisor hardware and shoot for a 20-to-1 consolidation ratio (that’s at least $3,800-5,600 per server/blade).

2) While networking is not important to VMmark, this is likely not the case for most enterprise applications. Therefore, VMmark is not a good comparison case for your network-heavy applications. Also, adding more network ports increases capacity and redundancy but does so at the risk of IRQ-sharing (ESX, not ESXi) problems, not to mention the additional cost/number of network switching ports. This is where we think 10GE will significantly change the equation in 2010. Remember to add up the total number of in use ports – including out-of-band management – when factoring in switch density. For net new instalments, look for a switch that provides 10GE/SR or 10GE/CX4 options and go with !0GE/SR if power savings are driving your solution.

3) Storage should be simple, easy to manage, cheap (relatively speaking), dense and low-power. To meet these goals, look for storage technologies that utilize FLASH memory, tiered spindle types, smart block caching and other approaches to limit spindle count without sacrificing performance. Remember to factor in at least the cost of DAS when approximating your storage budget – about $150/VM in simple consolidation cases and $750/VM for more mission critical applications (that’s a range of $9,000-45,000 for a 3-server virtualization stack). The economies in managed storage come chiefly from the administration of the storage, but try to identify storage solutions that reduce datacenter footprint including both rack space and power consumption. Here’s where offerings from Sun and NexentaStor are showing real gains.

We’d like to see VMware update VMmark to include system power specifications so we can better gage – from the sidelines – what solution stack(s) perform according to our needs. VMmark served its purpose by giving the community a standard from which different platforms could be compared in terms of the resultant performance. With the world’s eyes on power consumption and the ecological impact of datacenter choices, adding a “power utilization component” to the “server-side” of the VMmark test would not be that significant of a “tweak.” Here’s how we think it can be done:

  1. Require power consumption of the server/VMmark related components be recorded, including:
    1. the ESX platform (rack server, blade & blade chassis, etc.)
    2. the storage platform providing ESX and test LUN(s) (all heads, shelves, switches, etc.)
    3. the switching fabric (i.e. Ethernet, 10GE, FC, etc.)
  2. Power delivered to the test harness platforms, client load machines, etc. can be ignored;
  3. Power measurements should be recorded at the following times:
    1. All equipment off (validation check);
    2. Start-up;
    3. Single tile load;
    4. 100% tile capacity;
    5. 75% tile capacity;
    6. 50% tile capacity;
  4. Power measurements should be recorded using a time-power data-logger with readings recorded as 5-minute averages;
  5. Notations should be made concerning “cache warm-up” intervals, if applicable, where “cache optimized” storage is used.

Why is this important? In the wake of the VCE announcement, solution stacks like VCE need to be measured against each other in an easy to “consume” way. Is VCE the best platform versus a component solution provided by your local VMware integrator? Given that the differentiated VCE components are chiefly UCS, Cisco switching and EMC storage, it will be helpful to have a testing platform that can better differentiate “packaged solutions” instead of uncorrelated vendor “propaganda.”

Let us know what your thoughts are on the subject, either on Twitter or on our blog…

h1

Quick Take: Red Hat and Microsoft Virtual Inter-Op

October 9, 2009

This week Red Hat and Microsoft announced support of certain of their OSes as guests in their respective hypervisor implementations: Kernel Virtual Machine (KVM) and Hyper-V, respectively. This comes on the heels of Red Hat’s Enterprise Server 5.4 announcement last month.

KVM is Red Hat’s new hypervisor that leverages the Linux kernel to accelerate support for hardware and capabilities. It was Red Hat and AMD that first demonstrated live migration between AMD and Intel-based hypervisors using KVM late last year – then somewhat of a “Holy Grail” of hypervisor feats. With nearly a year of improvements and integration into their Red Hat Enterprise Server and Fedora “free and open source” offerings, Red Hat is almost ready to strike-out in a commercially viable way.

Microsoft now officially supports the following Red Hat guest operating systems in Hyper-V:

Red Hat Enterprise Linux 5.2, 5.3 and 5.4

Red Hat likewise officially supports the following Microsoft quest operating systems in KVM:

Windows Server 2003, 2008 and 2008 R2

The goal of the announcement and associated agreements between Red Hat and Microsoft was to enable a fully supported virtualization infrastructure for enterprises with Red Hat and Microsoft assets. As such, Microsoft and Red Hat are committed to supporting their respective products whether the hypervisor environment is all Red Hat, all Hyper-V or totally heterogeneous – mixing Red Hat KVM and Microsoft Hyper-V as necessary.

“With this announcement, Red Hat and Microsoft are ensuring their customers can resolve any issues related to Microsoft Windows on Red Hat Enterprise Virtualization, and Red Hat Enterprise Linux operating on Microsoft Hyper-V, regardless of whether the problem is related to the operating system or the virtualization implementation.”

Red Hat press release, October 7, 2009

Many in the industry cite Red Hat’s adoption of KVM as a step backwards [from Xen] requiring the re-development of significant amount of support code. However, Red Hat’s use of libvirt as a common management API has allowed the change to happen much more rapidly that critics assumptions had allowed. At Red Hat Summit 2009, key Red Hat officials were keen to point out just how tasty their “dog food” is:

Tim Burke, Red Hat’s vice president of engineering, said that Red Hat already runs much of its own infrastructure, including mail servers and file servers, on KVM, and is working hard to promote KVM with key original equipment manufacturer partners and vendors.

And Red Hat CTO Brian Stevens pointed out in his Summit keynote that with KVM inside the Linux kernel, Red Hat customers will no longer have to choose which applications to virtualize; virtualization will be everywhere and the tools to manage applications will be the same as those used to manage virtualized guests.

Xen vs. KVM, by Pam Derringer, SearchDataCenter.com

For system integrators and virtual infrastructure practices, Red Hat’s play is creating opportunities for differentiation. With a focus on light-weight, high-performance, I/O-driven virtualization applications and no need to support years-old established processes that are dragging on Xen and VMware, KVM stands to leap-frog the competition in the short term.

SOLORI’s Take: This news is good for all Red Hat and Microsoft customers alike. Indeed, it shows that Microsoft realizes that its licenses are being sold into the enterprise whether or not they run on physical hardware. With 20+:1 consolidation ratios now common, that represents a 5:1 license to hardware sale for Microsoft, regardless of the hypervisor. With KVM’s demonstrated CPU agnostic migration capabilities, this opens the door to an even more diverse virtualization infrastructure than ever before.

On the Red Hat side, it demonstrates how rapidly Red Hat has matured its offering following the shift to KVM earlier this year. While KVM is new to Red Hat, it is not new to Linux or aggressive early adopters since being added to the Linux kernel as of 2.6.20 back in September of 2007. With support already in active projects like ConVirt (VM life cycle management), OpenNebula (cloud administration tools), Ganeti, and Enomaly’s Elastic Computing Platform, the game of catch-up for Red Hat and KVM is very likely to be a short one.