X-Git-Url: https://git.octo.it/?p=rrdtool.git;a=blobdiff_plain;f=doc%2Frrdtune.pod;fp=doc%2Frrdtune.pod;h=d4fa076af322c80bd72b3072a156cf7b3f901030;hp=18f478d7153eb0707cdb2550bc7395bf6f92b437;hb=d0a1ea32f66d9d8d8ef696a2137425f84ff440e2;hpb=4753c98b30cdf4f003e86d76c2c794442e4eeef5 diff --git a/doc/rrdtune.pod b/doc/rrdtune.pod index 18f478d..d4fa076 100644 --- a/doc/rrdtune.pod +++ b/doc/rrdtune.pod @@ -13,20 +13,19 @@ S<[B<--maximum>|B<-a> I:I]> S<[B<--data-source-type>|B<-d> I:I]> S<[B<--data-source-rename>|B<-r> I:I]> S<[B<--deltapos> I]> -S<[B<--deltaneg> I]> +S<[B<--deltaneg> I]> S<[B<--failure-threshold> I]> S<[B<--window-length> I]> S<[B<--alpha> I]> S<[B<--beta> I]> S<[B<--gamma> I]> +S<[B<--gamma-deviation> I]> +S<[B<--aberrant-reset> I]> =head1 DESCRIPTION The tune option allows you to alter some of the basic configuration values stored in the header area of a Round Robin Database (B). -All these tunable parameters together decide when data fed into an -B is to be regarded as invalid. Invalid data is entered into the -database as *UNKNOWN*. One application of the B function is to relax the validation rules on an B. This allows to fill a new B with @@ -74,8 +73,8 @@ Alter the deviation scaling factor for the upper bound of the confidence band used internally to calculate violations for the FAILURES B. The default value is 2. Note that this parameter is not related to graphing confidence bounds, that scale factor must be specified as a CDEF argument to generate -a graph with confidence bounds. It need not agree with the value used internally -by the FAILURES B (although common sense dictates it should). +a graph with confidence bounds. The graph scale factor need not agree with the +value used internally by the FAILURES B. =item S I> @@ -111,8 +110,40 @@ Must be between 0 and 1. =item S I> -Alter the seasonal coefficient and deviation adaptation parameters the SEASONAL and -DEVSEAONAL B. Must be between 0 and 1. +Alter the seasonal coefficient adaptation parameter for the SEASONAL +B. Must be between 0 and 1. + +=item S I> + +Alter the seasonal deviation adaptation parameter for the DEVSEASONAL +B. 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 learn. +Specifically, for the HWPREDICT B, it sets the intercept and slope +coefficients to unknown. For the SEASONAL B, it sets all seasonal +coefficients to unknown. For the DEVSEASONL 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. + +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 +SEASONAL and DEVSEASONAL values on a periodic basis. During bootstrap +initialization this smoothing is deferred. For efficiency, the implementation +of smoothing is not data source specific. This means that utilizing +reset for one data source will delay running the smoothing algorithm +for all data sources in the file. This is unlikely to have serious +consequences, unless the data being collected for the non-reset data soures +is unusually volatile during the reinitialization period of the reset +data source. + +Use of this tuning option is advised when the behavior of the data source +time series changes in a drastic and permanent manner. =back