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How Many Google Machines, Really?
BoneThugND writes "I found this article on TNL.NET. It takes information from the S-1 Filing to reverse engineer how many machines Google has (hint: a lot more than 10,000).
'According to calculations by the IEE, in a paper about the Google cluster, a rack with 88 dual-CPU machines used to cost about $278,000. If you divide the $250 million figure from the S-1 filing by $278,000, you end up with a bit over 899 racks. Assuming that each rack holds 88 machines, you end up with 79,000 machines.'" An anonymous source claims
over 100,000.
That's $3159 per machine, and those are today's prices... They weren't so low a couple of years ago...
1) google is so pretty and smart
2) google is worth so much money
3) google has a huge rack!!
There was an article recently about how Google constantly understates various statistics about itself to mislead potential competitors. This article also said that the SEC would not allow them to do this once they became a publically traded company.
SCO now knows how big an invoice to send Google! :-D
My rights don't need management.
With all those TFlops, no wonder Google converts units so quickly.
You mean the PigeonRank(tm) technology is a hoax?
That's right, they probably got in on the "Buy 899 Get 1 Free" Sale. So in reality they have a nice even 900 racks. Makes much more sense that way.
Well, let's count. I have two servers at home and 8 at work. They all run linux. Now, if everyone else in the world joins this thread, we can find out.
If you've ever read a white paper of Google's, you'd realize that they even tell people why they deal with massive clusters over mainframes: lower latency.
Sunny Dubey
can you imagine a beowulf cluster of karma in soviet russia whoring YOU, you insensitive cliched clod?
A Pentium 4 dissipates around 85 W of heat. I don't know what the Xeon does, but let's be kind and say 50 W (wild guess). Using the article's "low end" estimate, that brings us to 4.7 MW!
I hope they have good ventilation...
Well, everybody knows that black ink is best for the job and that Linus prefers it.
42.
When you can just open "Computer Architecture: A Quantitavie Approach, 3rd Edition" by Hennessy and Patterson to page 855 and find out that in summary: ...
Google has 3 sites (two west coast, one east)
Each site connected with 1 OC48
Each OC48 hooks up to 2 Foundry BigIron 8000
80 Pc's per rack * 40 racks(at an example site)
= 3200 PC's.
A google site is not a homogenous set of PC's instead there are different types of PC's that are being upgraded on different cycles based on the price/performance ratio.
If you want more info get the patterson hennessy book that I mentioned. Not the other version they sell. This one rocks way harder. You get to learn fun things like Tomosulo's algorithm.
If I am violating any copy rights feel free to remove this post.
According to Google herself dried wood contains 15.5 MJ of energy per kg. It seems that Google consumes about 1 kg of wood per second (if they've found a way to utilize 100% of the energy, which they of course have - they're Google, after all), and that the pigeons are just there to use their wings to dry the wood!
We're on to you, Google!
Mainframes are optimized for batch processing. Interactive queries do not take full advantage of their vaunted I/O capacity.
Moreover, while a mainframe may be a good way to host a single copy of a database that must remain internally consistent, that's not the problem Google is solving. It's trivial for them to run their search service off of thousands of replicated copies of the Internet index. Even the largest mainframe's storage I/O would be orders of magnitude smaller than the massively parallel I/O operations done by these thousands of PCs. Google has no reason to funnel all of the independent search queries into a single machine, so they shouln't buy a system architecture designed to do that.
in how they recycle their gigantic heat output...perhaps move data center to the windy city, open up a homeless shelter next door, and put the hot air to good use for once. They might even get a tax break on this.
Better yet, open up a nursery (plant type) next door , build a green house, and piple 25% of the heat to it. Have you guys see the price of trees lately? Google could make a killing with the "recycling" plant.
All those machine, all that complexity and activity, all boiled down to one little box under a Google logo. The most useful input box on the internet.
Thanks Google!
They better have at least 10^100 machines, or they will be getting a call from my lawyers.
word.
>>Disks are going to fail at a rate of several hundred or thousand PER DAY
that's a little over the top big guy. i've worked at a 10,000 node corp doing desktop support. We lost ONE disk perhaps a week....if that much. We often went several weeks with no disks lost.
even if you factor in multiple drives per server, say TWO (because they are servers not desktops)
Interpolate for 100,000, that's a max of 20 disks per week...on the high end.
His pricing in the summary may be a bit off.
:)
:) Well, not the Asus 1400r, those are built into a 1u case, but other machines we've built for servers are very easy to build into midtowers instead. Those machines don't get gobs of memory, but do get extras like nice sound cards and CD/DVD players. The price would be the same, as they'd probably still be attaching them to the same networking equipment. 132,000 servers, and 2,682 workstations and dev machines is probably fairly close to what they have.
Every article I've read about Google's servers says they use "commodity" parts, which means they buy pretty much the same stuff we buy. They also indicate that they use as much memory as possible, and don't use hard drives, or use the drives as little as possible. From my interview with Google, they asked quite a few questions about RAID0, RAID1 (and combinations of those), I'd believe they stick in two drives to ensure data doesn't get lost due to power outages.
We get good name brand parts wholesale, which I'd expect is what they do too. So, assuming 1u Asus, Tyan, or SuperMicro machines stuffed full of memory, with hard drives big enough to hold the OS plus an image of whatever they store in memory (ramdrives?), they'd require at most 3Gb (OS) + 4Gb (ramdrive backup). I don't recall seeing dual CPU's, but we'll go with that assumption.
The nice base machine we had settled on for quite a while was the Asus 1400r, which consisted of dual 1.4Ghz PIII's, 2Gb RAM, and 20Gb and 200Gb hard drives. Our cost was roughly $1500. They'd lower the drive cost, but incrase the memory cost, so they'd probably cost about $1700, but I'm sure Google got better pricing, buying the quantity they were getting.
The count of 88 machines per rack is a bit high. You get 80u's per standard rack, but you can't stuff it full of machines, unless you get very creative. I'd suspect they have 2 switches, and a few power management units per rack. The APC's we use take 8 machines per unit, and are 1u tall. There are other power management units, that don't take up rack space, which they may be using, but only the folks at Google really know.
Assuming the maximum density, and equipment that was available as "commodity" equipment at the time, they'd have 2 Cisco 2948's and 78 servers per rack.
$1700 * 78 (servers)
+
$3000 * 2 (switches)
+
$1000 (power management)
--------
$139,600 per rack (78 servers)
Lets not forget core networking equipment. That's worth a few bucks.
Each set of 39 servers would probably be connected to their routers via GigE fiber (I couldn't imageine them using 100baseT for this) Right now we're guestimating 1700 racks. They have locations in 3 cities, so we'll assume they have at least 9 routers. They'd probably use Cisco 12000's, or something along that line. Checking eBay, you can get a nice Cisco 12008 for just $27,000, but that's the smaller one. I've toured a few places who had them, and pointed at them citing them to be just over $1,000,000.
So....
$250,000,000 (ttl expenses)
- $ 9,000,000 (routers)
------
$241,000,000
/ $ 139,600
------
1726 racks
* 78 (machines per rack)
------
134,682 machines
Google has a couple thousand employees, but we've found that our servers make *VERY* nice workstations too.
I believe this to be a more fair estimate, than the story gave. They're quoting pricing for a nice fast *CURRENT* machine, but Google has said before that they buy commodity machines. They do like we do. We buy cheap (relatively) and lots of them, just like Google does. We didn't pattern ourselves after Google, we made this decision long before Google even existed.
When *WE* decided to go this router, we looked at many options. The "provider" we had, before we went on our own, leasing space and bandwidth directly from Tier 1 providers, opted for the monolythic sy
Serious? Seriousness is well above my pay grade.