I have a project i'm working on to show scaling of different storage sollutions (both total performance and compared to itself) by Queue Depth and block sizes 4-32KB for 100% random 100% read. This allows for a deeper look into the effects of parallellity, and the granularity.
Different from earlier suff i've done, this will be with a linear QD stepping of 1 from QD 1 to 32. This is low to medium "parallell load", and will capture the relevant range for desktops and most kinds of workstations.
I'm looking for results from single HDDs and SSDs, and arrays of HDDs and SSDs. Basically any storage type. The more diversity i get the better. Anything from a 10 year old 5400RPM PATA drive, to a first gen JMicron SSD, to a velociraptor, Intel SSD, and 2-8(+) SSD/HDD arrays.
Results will be posted later as nice sorted graphs and diagrams in a dedicated storage/SSD benchmark thread I'll make.
Here's the config, i've included a txt file with info:
Attachment 105130
It will take about 20-25 mins to run and give me 128 datasets/points.
Post result files (csv) with the naming described in the info file
in this thread (for now). If you do runs on multiple configurations, you can include multiple csv files in a single zip file with your username (and possible a general description of content).
Any results are greatly appreciated, since this won't be possible without collaboration, and nobody else are doing anything simelar of this detail and work size and sharing results (to my knowledge).
EDIT: it would be great with a comment on what you think, and if you're in, so i can see if there's any interrest in this or if i should just leave it.