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Performance in Intel IOMeter: SequentialRead & Write Patterns

Intel IOMeter software sends to the HDD a set of reads and writes with the queue=4. Once per minute the data block size changes that is why in the end we can actually track the dependence of the linear read and write speed on the data block size.

To make the results table more illustrative I highlighted the best results with blue and the worst ones with read color for each data block. However, you will see the HDDs performance difference even more clearly on the graphs:

Of course, Maxtor hard drives are the fastest when it comes to smaller data blocks. Note that the SATA WD hard disk drive is as fast when working with small data blocks as Maxtor solutions. However, the parallel ATA Maxtor HDD is considerably better than both of them.

As it comes to larger data blocks Hitachi drive dashes forward. Starting with 16KB data blocks the HDD runs at its maximum speed and then doesn’t matter on the data block size any more. And as for WD 2500JD HDD, this seems not to work for it: for some reason it didn’t like 256KB and 512KB data blocks. I also have to say that WD hard disk drives are slower on large data blocks than the competitors’ solutions.

Now let’s check how well they cope with writing:

During writing none of the HDD suffers any performance drops, except WD’s “brand name” confusion with 1KB blocks (the confusion is caused by the fact that the minimum WD cache segmentation is only 1 sector).

The winners here appeared two Maxtor solutions. They are considerably faster than the others as it comes to small data blocks and a little bit ahead of the rivals on bigger data blocks.

Well, it’s high time we passed over to server patterns now.

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