X-Git-Url: https://git.octo.it/?p=rrdtool.git;a=blobdiff_plain;f=doc%2Frrdtune.pod;h=859c14345f407d7c77f6813fc9dd8de8b7071074;hp=5e9029bf12a2772a4267c249262645e59fee2e7b;hb=d4110e29da41ce702bcc3327e86768c6f266915e;hpb=342b22c3e74a10d7049285c2cea7383676bcfc95 diff --git a/doc/rrdtune.pod b/doc/rrdtune.pod index 5e9029b..859c143 100644 --- a/doc/rrdtune.pod +++ b/doc/rrdtune.pod @@ -18,6 +18,8 @@ S<[B<--alpha> I]> S<[B<--beta> I]> S<[B<--gamma> I]> S<[B<--gamma-deviation> I]> +S<[B<--smoothing-window> I]> +S<[B<--smoothing-window-deviation> I]> S<[B<--aberrant-reset> I]> =head1 DESCRIPTION @@ -117,18 +119,29 @@ B. This parameter must be between 0 and 1. Alter the seasonal deviation adaptation parameter for the DEVSEASONAL B. This parameter must be between 0 and 1. +=item S I> + +Alter the size of the smoothing window for the SEASONAL B. This must +be between 0 and 1. + +=item S I> + +Alter the size of the smoothing window for the DEVSEASONAL B. This must +be between 0 and 1. + =item S I> This option causes the aberrant behavior detection algorithm to reset for the specified data source; that is, forget all it is has learnt so far. -Specifically, for the HWPREDICT B, it sets the intercept and slope -coefficients to unknown. For the SEASONAL B, it sets all seasonal +Specifically, for the HWPREDICT or MHWPREDICT B, it sets the intercept and +slope coefficients to unknown. For the SEASONAL B, it sets all seasonal coefficients to unknown. For the DEVSEASONAL B, it sets all seasonal -deviation coefficients to unknown. For the FAILURES B, it erases -the violation history. Note that reset does not erase past predictions -(the values of the HWPREDICT B), predicted deviations (the values of the -DEVPREDICT B), or failure history (the values of the FAILURES B). -This option will function even if not all the listed B are present. +deviation coefficients to unknown. For the FAILURES B, it erases the +violation history. Note that reset does not erase past predictions +(the values of the HWPREDICT or MHWPREDICT B), predicted deviations (the +values of the DEVPREDICT B), or failure history (the values of the +FAILURES B). This option will function even if not all the listed +B are present. Due to the implementation of this option, there is an indirect impact on other data sources in the RRD. A smoothing algorithm is applied to