Here is the solution:
I have just transformed the already developed SQL script to the RODBC based R-Script which can be seen below:
The result of the script run is the "ActualVsHistorical" table in the servermentrics database on MySQL with the following data that is identical with the data used for plotting IT-Control Chart published in the previous post. The data itself can be seen by just typing the data frame name in the R-Console window:
So, all main elements of SEDS-lite project were prototyped and published on my posts. Maybe one more task is left, which is to illustrate on R how the exceptional (based on EV meta-metric filtering) list of objects (servers) can be created as a part of anomalies detection. So far that was done and published in this blog and so far it is only in the "DB2"-like SQL format to run within BIRT. See the post about that here: UCL=LCL : How many standard deviations do we use for Control Charting? Use ZERO!
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