Hi, In the last week I read into the HW forecasting and the implementation in the rrdtools.
After reading a lot there are still some questions open: 1) How do I choose the initial values for the fitting parameters alpha, beta and gamma? in my experiments alpha behaved nicely and it was no problem to find the optimal alpha. But the least square function of gamma in the range of ]0,1[ seems to be fractal. So it will be extremely difficult to optimize the parameters. Anybody else with this experience? In all samples in the net nobody explains why he choose exactly this parameters. Why? 2) Is there any possibility to optimize the fitting parameters to recent data? My idea would be to optimize the fitting parameters, create the RRDs and to optimize the RRDs from time to time. Any ideas or comments? Are there any experts on the list? I would like to start a discussion about making the use of the forecasting in RRDs as simple as creating a plain graph. Greetings, -- Dr. Michael Schwartzkopff Guardinistr. 63 81375 München Tel: (0163) 172 50 98 Fax: (089) 620 304 13
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