#26 Normal distribution data patterns for IOMeter

[Anonymous]

For testing caching solutions, normal IOMeter is ineffective since the data is 100% random and there is no hot data to cache. IOMeter should have settings (or a version?) to allow various non-random patterns, such as a normal distribution.

[Martin Werner]

Does anyone else have the demand for this feature? Do you mean something like a gaussian curve
Or is it sufficient and realistic enough to add some kind of locality or skew (% of IOs go to % of space)?

[Brian Martin]

I have prototyped changes for precisely this purpose, using the concept of locality of reference (LOR) for reads and writes. I would definitely like to pursue this conversation. LOR is more representative of real world applications, and will be important for testing many of the newly emerging storage architectures.

[Vedran Degoricija]

Hi Brian,

Thanks! We are open to all contributions.  Please send me your implementation and we will review it.

Thanks,
Ved

On Thursday, February 6, 2014 7:55 PM, Brian Martin kestrelv@users.sf.net wrote:

I have prototyped changes for precisely this purpose, using the concept of locality of reference (LOR) for reads and writes. I would definitely like to pursue this conversation. LOR is more representative of real world applications, and will be important for testing many of the newly emerging storage architectures.

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[feature-requests:#26] Normal distribution data patterns for IOMeter
Status: open
Created: Fri Nov 16, 2012 07:12 PM UTC by Anonymous
Last Updated: Mon Jul 15, 2013 09:16 AM UTC
Owner: nobody
For testing caching solutions, normal IOMeter is ineffective since the data is 100% random and there is no hot data to cache. IOMeter should have settings (or a version?) to allow various non-random patterns, such as a normal distribution.

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