Modern HDDs have gotten somewhat better
utcc.utoronto.ca
utcc.utoronto.ca
Older model: 670 IO/s and 2.9 ms average latency
Newer model: 1680 IO/s and 1.1 ms average latency
We got the vendor to send us new drives and shipped the older model back to them.
Older drive:
model number: MB8000GFECR
SATA Version: SATA 3.1, 6.0 Gb/s (current: 6.0 Gb/s)
ATA Version: ACS-3 T13/2161-D revision 5
Newer drive: model number: MB008000GWWQU
SATA Version: SATA 3.3, 6.0 Gb/s (current: 6.0 Gb/s)
ATA Version: ACS-4
My guess at the time was that the newer drive had a deeper command queue, but I'm not actually sure, and I think both drives had the same amount of cache.We use the controller in HBA mode, so the controller shouldn't be doing anything fancy, but you might be right.
If so, then it would probably be useful to see if the vendor drive model numbers are available.
For the dramatic increase in iops, I wonder if there are more head+actuator assemblies on the newer drives or similar? Along the lines of these:
https://www.seagate.com/innovation/multi-actuator-hard-drive...
And yes, HP changes the firmware and model numbers... super annoying.
>We got the vendor to send us new drives and shipped the older model back to them
not much of an agreement then, shows where the power lies
>MB8000GFECR
Seagate ST8000NM0055 at 2-4x the price
>MB008000GWWQU
another seagate
SI prefixes should be (and are) the rule rather than the exception. It only made sense to measure ram in base-2 units because they are manufactured according to base-2 addressing.
HDD’s have never used base 2 addressing.
Another example is network media. Serialized data transfer speed is measured in {K,M,G,T}b/s (bits) or B/s (Bytes) where a Gigabit is exactly 1000000000 bits and Gigabyte is exactly 1000000000 bytes.
In the early days of computers ram was extremely scarce and expensive. It was such a limitation that it was usually the very first question you asked about a computer’s capabilities.
I remember in 5th grade asking a fellow student who’s parents had just bought an Atari 800 “How much ‘K’ does it have?”
This intense focus on ram may have led people to assume that it’s odd nomenclature would apply to anything computer related.
Despite hard drive manufacturers using correct units, people still blame hard drive manufacturers for their disappointment.
Marketers measure in base 10 because it lets them inflate the stated capacity in a way that isn't legally fraudulent.
What do you mean? 'Computers' don't measure storage, they execute programs. Humans (often programmers) are the ones who want to know about storage.
Base 10 is something that is primarily used for presentation to humans.
We all know this, this is HN....
There's lots of reasons why computers so often use powers of two and thus K being 2^10 instead of 10^3. But the word measure is probably not the best.
HDDs, RAM, network speed were base-2 (e.g. 1TB = 1024GB) for most of my life until SSDs became common and even Google now says "1 Gigabyte = 1000 Megabytes" to my exasperation.
https://www.computerhope.com/hdquantu.htm
E.g., if you take the Quantum Bigfoot 1.2 GB model:
2492 cylinders * 16 heads * 63 sectors * 512 bytes per sector = 1286111232 bytes
The size it was sold as, is definitely closer GiB (as in power of two):
1.2 * 2*30 = 1288490189
With rounding, they could sell it as 1.3 GiB with the current marketing trick of using SI units.
So the old branding strategy seems to have been: compute the size in bytes, then find a reasonably MiB or GiB value (powers of two).
Before 1GB HDD’s the file system overhead was a much more dramatic effect so it didn’t really matter to consumers which prefix convention they used or how they rounded.
2492 * 16 * 63 * 512 / 1000 ^ 3 = 1.286111232
4092 * 16 * 63 * 512 / 1000 ^ 3 = 2.111864832
4994 * 16 * 63 * 512 / 1000 ^ 3 = 2.577383424
Using GiB you get different numbers if you look past the first element in the table:
2492 * 16 * 63 * 512 / 1024 ^ 3 = 1.197784423828125
4092 * 16 * 63 * 512 / 1024 ^ 3 = 1.966827392578125
4994 * 16* 63 * 512 / 1024 ^ 3 = 2.4003753662109375
So I stand by my point, they have always used SI units. It's only ram (and software) that used incorrect definitions of k, M, G and T.
E.g. Seagate ST-506, first 5.25" hard drive.
"The total formatted capacity of the four heads and surfaces is 5/10 megabytes (32 sectors per track, 256 bytes per sector, 612/1224 tracks)."
612 * 32 * 256 = 5013504, or 5.01 megabytes or 4.78 mebibytes.
No, network speeds are the exception in that they have always used base-10 for a long time. For example, the basic ISDN data rate of 64kbit/s is exactly 64000 bits/s (8000 samples of 8-bit PCM per second); a 9.6k modem is 9600 bits/s; a 10 megabit Ethernet link is 10000000 bits/s; and so on.
Nowhere else in the computer is the base-10 version standard, and it shouldn't be. The sentence "a 32-bit CPU register can address up to 4 gigabyte of memory" is clearly reasonable, the sentence "a 32-bit CPU register can address up to 4.29497... gigabytes of memory" is not. It's not just ram though: all basic data types (bytes, ints, floats, pointers, SIMD registers, whatever) are sized to powers of 2, having a storage unit that is not is insanity. Or, to bring it back to hard drives: what's the max file size of a file stored on a FAT32 filesystem again?
It's just bad and deceptive, and hard drive manufactures should not be allowed to play these kinds of games. You should stop carrying the water for their shitty practices.
"Up to" is marketing. From my experience "up to" starts from 0.
Like saying a car can go up to 200mph, no one thinks the car is unable to go 50mph.
Back then, a "byte" was not necessarily "8 bits", but whatever the smallest unit of addressable memory was. This was the same as or an even fraction of the word length of the computer. Common word lengths back then included 12, 18, 24, and even 30 bits. 8-bit bytes would only fit evenly into one of those.
Storage devices like hard drives are not addressed like memory, and the logical segmentation of bits into bytes/words/clusters was a function of the software, not the hardware. One storage device could be built for use in an 8-bit or 12-bit computer, resulting in very different numbers if you tried counting its size in bytes on these different machines.
As the parent said, networking. (Which also suffers from an unfortunate bits/bytes mismatch.)
The real problem with storage IMO is that software used base-2 measurements and vendors used base-10 and eventually the discrepancy got big enough to be noticeable.
Well, you're simply wrong. CPU frequency is measured in GHz, that is 1,000,000,000 Hz, not 1,073,741,824 Hz. Consequently, my CPU has a nominal frequency of 3.0 GHz, not 2.793967724 GHz. Since frequencies are denominated in powers of 10, bandwidths are as well: The L1 cache in my CPU can read 64 bytes/cycle (I think), so it has a read-bandwidth of 192 GB/s, that is 192,000,000,000 B/s. My Ethernet device can transfer 1 Gbit/s, that is 1,000,000,000 bit/s, because it's clocked at 125 MHz (that's 125,000,000 Hz) and transfers 8 bit per clock cycle.
> all basic data types (bytes, ints, floats, pointers, SIMD registers, whatever) are sized to powers of 2
Yeah, and it pretty much ends with basic data types. Most of my structs aren't powers of two in size, even though their individual elements are 1, 2, 4, or 8 bytes in size. Almost none of my files have sizes related to powers of two. My SSD has a size of 931.51339 GiB – so tell me again how powers of two are more correct or more useful here?
They are all rounded up to 512 or 4096 bytes by your filesystem.
> My SSD
SSDs operate using erase blocks sized in mebibytes, and expose sector sizes of 512 B or 4096 B to the OS. [1] HDDs a similarly low-level-formatted with 512 or 4096 B sector sizes.
That's an implementation detail, and neither I nor my programs care about it. We do care about the actual length of the file, which isn't related to powers of two, except in niche cases.
> SSDs operate using erase blocks sized in mebibytes, and expose sector sizes of 512 B or 4096 B to the OS.
While true, this is also an implementation detail, and I don't think about the size of my SSD in multiples of sectors or pages or kibibytes – "976762584 kiB" just isn't a useful number for me, but "1000.2 GB" is manageable. Specifying it as "931.51 GiB" isn't more correct, so it makes sense to default to powers of 10 instead of powers of 2.
The situation would be different if HDDs and SSDs always or typically had exact sizes like 512*2^30 (= 512 GiB) or 3*2^40 (= 3 TiB) – you know, like RAM – in which case using powers of 2 would make sense. But that's not the world we're living in.
I just checked two of three SSDs available to me. Two were exact multiples of power-of-two gigabytes -- 200 GiB, 120 GiB. One was 500.3 GB.
SI units might be more useful to a consumer (and I am not arguing they aren't). But the argument that storage systems have "nothing to do" with powers of two is not valid.
LBA_count = 97696368 + 1953504 * (Reported_Capacity_in_GBytes - 50)
So, for 120 GB HDD: (97696368 + 1953504 * 70) * 512 / 1024^3 = 111.79 GiB
(97696368 + 1953504 * 70) * 512 / 1000^3 = 120.03 GB
For 200 GB HDD: (97696368 + 1953504 * 150) * 512 / 1024^3 = 186.31 GiB
(97696368 + 1953504 * 150) * 512 / 1000^3 = 200.05 GB
For 500 GB HDD: (97696368 + 1953504 * 450) * 512 / 1024^3 = 465.76 GiB
(97696368 + 1953504 * 450) * 512 / 1000^3 = 500.11 GB
Doesn't look like powers of 2 at all. Are you sure about your sizes?Regarding sectors of 520 bytes, usable bytes are still 512. Quote from the above referenced document:
> HDDs formatted with T10 PI (Protection Information) have 8 bytes added to the end of each sector. However, the user usable sector size will remain at 512 bytes or 4096 bytes. The 8 bytes of PI will increase the overhead of the disk sector density similar to overhead of ECC bytes in a given sector.
Not always. Some filesystems allow small files to be compacted into other structures: the MTF can hold small in NTFS, ext* and btrfs support similar inlining of data in inodes for small files, other filesystems (ZFS, Reiser, btrfs again) support more general sub-block allocation (with techniques such as tail packing or block sub-division). Sometimes this is only for small files not “oddly” sized larger files, but things like tail packing can apply to the latter too.
your comment seems to insinuate that this is some new sneaky marketing practice of HDD manufacturers to trick the consumer.
canada has no hope of doing anything in metric here, everything is in US units, and probably will be until the year 2200
> The limited availability of lumber and the rapid pace of housing construction made other methods like concrete-block housing viable. This pressured further compromise because thinner 2x4s were a way to compete in price with wood alternatives. Size standards, maximum moisture content, and nomenclature were agreed upon only as recently as 1964. The nominal 2x4 thus became the actual 1½ x 3½, imperceptibly, a fraction of an inch at a time.
http://www.harvarddesignmagazine.org/issues/45/nominal-versu...
So it seems the reduction was was driven by cost saving, not a product of the finishing process, and it's actually only been standardized that way for 58 years.
(I rounded those values because if the US were to go metric, the dimension would slightly change, rather than being exactly 50.8 by 101.6 mm)
What I tried to convey, in a stupid way, is that there wouldnt be an exact translation of the measurements into metric, but that the dimensions qould slightly change in switching over.
and now I realize that that point was irrelevant anyways. Sorry for derailing the thread with useless replies.
"Dimensional lumber is available in green, unfinished state, and for that kind of lumber, the nominal dimensions are the actual dimensions."
Your quote just means when you're buying green wood and it says it's 2"x4" it will be exactly 2"x4". It doesn't mean a 2x4 started out as a 2"x4" green board.
I was originally pointing out that the naming is simply a standard and convention, 'dimensional lumber'. All that matters is that if I buy a '2 by' almost anywhere in the United States, it will be close to the same size and characteristics.
Only slightly familiar. Binary number systems are explained in introductory first books on computers. I knew binary nearly 10 years before I got my hands on a computer.
If you want base-2 then use kibiBytes (kiB) and move on..
For communications they mostly haven't (we tend to deal with decimal clock rates, bandwidths, etc-- and even when we have 128-QAM or whatever that's going to not result in powers of 2). For memories and caches we generally like them to be powers of 2 to use all the bits of our addressing and decoders well. For secondary storage, ... we tend to have a non-round number of lumps that are a small power of 2 sized, and we might as well use decimal.
This is subtle and has been woefully inconsistent. It would be better to just use powers of 10.
(Me of 20 years ago would be very disappointed in myself for writing this comment).
That is not about hard drives, that is about the abstraction layer of FAT32, which uses a 32-bit quantity for size.
FAT32 could be used for a storage device that stores things based on powers-of-10 sizes. It's just an implementation detail if anything happens to do it with powers of 2 underneath.
Not without wasting lots of space. FAT32 only allows sector sizes of 512, 1024, 2048, or 4096 bytes.
[1] https://www.cs.fsu.edu/~cop4610t/assignments/project3/spec/f...
Your comment is a good example of "I so want this narrative to be true!" without any backing.
Back in the 90's, my computer studies textbook had 1 KB as 1024 bytes, and 1 MB as 1,000,000 bytes. It explicitly stated that it is not 1024 KB. What's their angle?
The confusion of binary and decimal prefixes has been around for decades:
* https://en.wikipedia.org/wiki/Timeline_of_binary_prefixes
This is not some recent conspiracy to boost profits or whatever.
It holds 1,474,560 bytes.
That is 1.44 * 1000 * 1024.
I know they are here somewhere. Looks like I have some housekeeping to do.
When I find them, that number will become nonzero...
SI metric prefix standards really really matter to an engineer. The creation of a new indistinguishable unit which varies depending on what was measured (so that 1k != 1k) is mind-bogglingly idiotic in this old engineer’s opinion.
As a child I too felt the pain of feeling “shortchanged” by hardware manufacturers’ marketing practices with hard drive sizes, and I deeply understand the glamour of using 1024 based decimals for declaring total memory. However the cost of differing values for metric prefixes (k, M, G) is confusion, mistakes, and arguments. I also think that any card carrying geek knows their measurements, and cannot be easily deceived. Another argument for why software engineers are not. Disclaimer: last gig was JavaScript.
Communications theory used 1,000s and such to state transfer rates as with any other scientific unit long before modern drives. That stuck when things were recorded to mediums such as tape, and every disk ever has been measured on 1,000s or 1,000,000s or …
There have been some oddities along the way: punched cards were all over the place and were measured in characters not bits/bytes, many comms methods too were measured in characters/symbols or modulations rather than bits & bytes, many comms and storage (tape, disk, and RAM/ROM) formats are not nice round powers of 2 in raw form due to check bits, parity bits, and stop bits.
The one and only occurrence I can think of where 2^10 was used officially for a physical storage measure is the 1.44Mb floppy format which was a strange bastard of multiple divisions: it was 1440KiB, so 1.4410001024, so really was either ~1.38MiB or ~1.47MB.
> Nowhere else in the computer is the base-10 version standard, and it shouldn't be.
Nowhere else in science nor enginerring is 2^10 the standard instead of 10^3, and it shouldn't be. In computing we've adopted 2^10 that because some things are easier for us to think about that way, and 2^10 and 10^3 are close enough for many estimating or quick calc purposes, but why should science that predates that practise being common be forced to change simply for our convenience?
Yes I support moving from imperial to metric where that hasn't already been done, but not because I encountered metric first (I didn't) so the other is unfamiliar but because it makes sense. You might argue that to programmers or less technical tech users 2^10 makes more sense, but they are less important in terms of science and engineering then, well, the rest of science and engineering.
> what's the max file size of a file stored on a FAT32 filesystem again?
2GiB, or approximately 2.147GB. Many people incorrectly calling it 2GB does not change that G as a prefix means 10^9 and not 2^31 - otherwise we have to accept other things like “u” being a correct spelling of “you”!
It isn't a grand conspiracy to defraud us. We chose to give those prefixes a double meaning, it isn't the rest of science & engineering's fault that we sometimes get confused by that choice that we made and they didn't.
The two most common sector sizes on HDDs are 512 bytes (a byte being 8 bits) and 4096 bytes. Base 2 units make a lot more sense with these power-of-two sector sizes than base 10 units.
No honestly: Kilo should always mean 1'000, Mega should always mean 1'000'000 and not 1'048'576.
And that's why we have "kibi", "mebi", etc.
So Kilo means times 1,000. Kibi means times 1,024 and so on.
Still the "minimum" unit, the sector or "block" is 512 or 4096 bytes, so the multiple/power of 2 is "ingrained" in the media.
[1] https://en.wikipedia.org/wiki/Disk_formatting#Low-level_form...
[2] https://en.wikipedia.org/wiki/CD-ROM#Sector_structure
[3] https://en.wikipedia.org/wiki/Disk_formatting#Low-level_form...
interesting network trivia: a LANPHY and a WANPHY 10 gigabit ethernet connection are not quite the same thing. The latter is designed to fit within legacy DWDM transport systems designed to carry OC-192 so its data rate will fit within 9953.28 Mbit/s or slightly under that.
So while there is a bit of waste and we could do some work to speed up the transfer, it's still going to be 10% less than you think is attainable.
But even so, the gigabyte sins of the hard drive makers are still less than half of those of the network card makers who used to advertise baud instead of bytes, so the fact that the data is going across as 5:4 encoding means that you divide the Kbps by 10 - not 8 - to get the actual throughput.
Fuck those guys.
Actually, they generally specified bits per second, even if they called it "baud".
> so the fact that the data is going across as 5:4 encoding means that you divide the Kbps by 10 - not 8 - to get the actual throughput.
Stop bits and start bits. E.g. a 9600 bit per second v.32 MODEM operated at 2400 baud (2400 4 bit symbols per second), and had an end-user throughput of 960 characters per second.
Clock speed is base10. Line speed is base10. Storage is base10. But ram is base2, because it's almost always constructed as a grid.
Tapes are essentially unitless, how long is a piece of string. The earliest magnetic harddrive I can find is the IBM 350 storing 5 million 6-bit characters. Where 5 million is 5 and a bunch of zeros. it's not 4.75 .. mibilion?
Where things get weird, is when we start dividing tracks into sectors. For convenience we went for sectors that were convenient to page into memory. Every harddrive since that has had a base10 number of base2 sectors. From that point onwards, you can be team base10 or team base2, they both end up wrong.
And this is how we end up with the 1.44MB floppy, where 1.44MB is 2880 * 512kb. Or 1.44 * 1000 * 1024.
Still seems the storage unit size should be IEC based, not SI.
One of the huge limitations with bit width is the ability to keep the actuator arm stable within the 15 or so nanometers because of the air turbulence. That's why they fill the drives with helium now, less aerodynamic drag/turbulence means you can either cram more platters in (which increases the turbulence back to where it originally was) or make narrower tracks since you have more precision.
SSDs have won. Spinning hard drives are going to ship fewer and fewer units. The economies of scale are not going to improve ever again and are already getting worse. Further, the market just doesn't care about paying for capacity for the most part.
We peaked in 2010 with 650 million drives/year. Current unit counts are about one third of that. Compare to SSDs with about 400 million units/year.
I personally have some Exos 16TB's. There's a decent price history available[1] reaching back to mid-2019. Make sure to tick on "3rd party new". These aren't going to be the best prices available in many cases, but it's reasonably indicative.
A 2.5x difference in IO/s adds up quickly.
As for HDD prices, neither 12TB nor 8TB were top of the line at the timeframes you mention. If you buy largest available drives, or a model lower, the prices have been going down. Not as much as we all would like, but overall the trend has been moving in the downward direction.
- did you buy those drives in the "sweet spot" of capacity per dollar? 8 and 12 TB drives aren't the sweet spot anymore
- there's also this covid disruption thing
- when was the factory fire in ?vietnam?
- and how much competition is there? Are we down to two companies basically?
The pair of 8TB I had previously are within $5 of what I paid in 2017.
Yes, I'm skipping a few steps, but that's the fundamental issue at play here. There's more platters, more bits per inch, more read / write speed at the same 7200 RPM.
Its not a lot, but its a steady increase as hard drives keep getting denser and denser.
For video editing, ETL and other read-heavy workloads, they have a point.
A friend used to work for Apple and said that one of the reasons they had apple-specific versions of various mass market SCSI and IDE drives was because Apple's firmware actually flushed data to disk when told to do so, and didn't lie about whether data was flushed or not.
So if your app is fsync heavy (such as Ceph) then you can switch on this media cache by setting the drive to write through mode (WCE=0).
SATA SSDs have a similar quirk.
(It also requires more hardware.)
(I'm the author of the linked-to entry.)