This sounds a lot like "DGAUGE" which was proposed about 2 years ago...<div><br></div><div><a href="http://www.mail-archive.com/rrd-developers@lists.oetiker.ch/msg02889.html">http://www.mail-archive.com/rrd-developers@lists.oetiker.ch/msg02889.html</a></div>
<div><br></div><div>-kb<br><br><div class="gmail_quote">On Sun, Oct 10, 2010 at 5:56 PM, Steve Shipway <span dir="ltr"><<a href="mailto:s.shipway@auckland.ac.nz">s.shipway@auckland.ac.nz</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;">
> > I have an existing framework which samples data from a system<br>
> > every minute. To avoid load peaks, the sampling of the different<br>
> > parts is spread around the seconds of a minute. For most measured<br>
> > variables RRD does just the right thing by interpolating to the<br>
> > step grid.<br>
...<br>
> sounds like a sensible analysis to me :-) except that I would call<br>
> the datasource type<br>
><br>
> GAUGELATEST<br>
<br>
Whatever it's called, I'd certainly like to see a DS type which is like GAUGE but without the normalisation to the interval. There are many applications for which this would be useful.<br>
<br>
Steve<br>
<br>
<br>
Steve Shipway<br>
ITS Unix Services Design Lead<br>
University of Auckland, New Zealand<br>
Floor 1, 58 Symonds Street, Auckland<br>
Phone: +64 (0)9 3737599 ext 86487<br>
DDI: +64 (0)9 924 6487<br>
Mobile: +64 (0)21 753 189<br>
Email: <a href="mailto:s.shipway@auckland.ac.nz">s.shipway@auckland.ac.nz</a><br>
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</blockquote></div><br><br clear="all"><br>-- <br> kevin brintnall =~ /<a href="http://kbrint@rufus.net/">kbrint@rufus.net/</a><br><br>
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