-
-2001/03/07 Tobias Oetiker <oetiker@ee.ethz.ch>
- Integrated complete rewrite
- of rrdgraph documentation by Alex van den Bogaerdt
- <alex@slot.hollandcasino.nl>. This also contains info on his planned
- changes to the rrdgraph module
-
-2001/03/02 Tobias Oetiker <oetiker@ee.ethz.ch>
- Added Aberrant Patch from Jake Brutlag <jakeb@microsoft.com>
- From now one, new rrd files use version tag 0002. They can
- NOT be read by the old 1.0.x rrdtools.
+Forecasting (Evan Miller)
+-----------
+* the new MHWPREDICT consolidation function uses a variation of the Holt-Winters
+ method. It is a drop-in replacement for HWPREDICT, and is better suited for
+ data whose seasonal variations grow or shrink in proportion to the average.
+
+Misc
+----
+* ruby rrd_fetch will return step as a last property -- Mike Perham
+
+Incompatibility
+---------------
+* If you create an RRD with the new MHWPREDICT function, the resulting rrdfile will
+ be version 0004 and can only be used in rrdtool 1.3.
+
+Locale Independent Input
+------------------------
+* Regardles of locale you are in, rrdtool always expects input to be numbers (LC_NUMERIC)
+ in C or POSIX locale for numbers. (not 1,1 but 1.1) this is necessary to make
+ things like RPN work as it uses , as a separator.
+
+RRDTOOL NEWS
+============
+Major Changes between 1.0.x and 1.2.x
+
+Graphing
+--------
+
+* rewritten graphics generation based on libart.
+ - anti-aliased output
+ - alpha transparency support
+ - truetype fonts
+
+* additional graphics formats: EPS, PDF, SVG
+
+* extended multi-part documentation
+
+* VDEF support; define and use variables. Find, and use, the
+ maximum rate seen by rrdtool; compute and show the average
+
+* Sliding window (trend) analysis
+ Compute a smoother average, for instance over the last 6 CDPs
+
+* percentile (95th or other)
+ Remove peaks, 95 percent of all rates are at or below the
+ returned value
+
+Logging
+-------
+* a second logging interface: rrdtool updatev
+ Verbose updating of the database; show CPDs being created
+
+* Aberrant Behavior Detection with Holt-Winters Forecasting
+ Compare current data with expected data, detect and log when
+ the rates are outside expected levels
+
+* COMPUTE data type for artificial data-sources calculating their
+ input using RPN math and data from the other data-sources.