In the purpose of sharing in codes some ideas of exception detection metodology I am developing the SEDS-Lite version using "R"-scripting (http://www.r-project.org/). One of the scripts (cchrt.r - see front picture of this post) has been already published on my blog and that builds control charts against CSV data: http://itrubin.blogspot.com/2009/03/power-of-control-charts.html
How exactly that works and more R-scripts will be presented on my workshop at up-coming CMG'09 conference in Dallas (http://itrubin.blogspot.com/2009/07/my-cmg09-sunday-workshop.html ) - you are welcome to attend!
Some additional R-scripts can be found in my SCMG presentation http://itrubin.blogspot.com/2009/05/seds-charts-at-scmg.html
The trick is the SAS 9.2 can execute R scripts. You can also try another SAS-like product (http://www.teamwpc.co.uk/products/wps) which also understands R, plus there are some ways to use SAS data for R-graphing: http://www.hollandnumerics.co.uk/pdf/SAS2R2SAS_paper.pdf or just using the "SAS and R" good book ( I have recently bought that and highly recommend): http://sas-and-r.blogspot.com/
This blog relates to experiences in the Systems Capacity and Availability areas, focusing on statistical filtering and pattern recognition and BI analysis and reporting techniques (SPC, APC, MASF, 6-SIGMA, SEDS/SETDS and other)
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Tuesday, November 10, 2009
SEDS-Lite Introduction
Igor Trubin began his engineering career in 1979 as an IBM/370 systems engineer. He earned a Ph.D. in Robotics from St. Petersburg Technical University in 1986 and spent 12 years there as a professor teaching CAD/CAM and Robotics. He has published and presented more than 60 technical papers and conference presentations in robotics, artificial intelligence, IT performance, capacity management, anomaly detection, and FinOps. After moving to the U.S. in 1999, Igor worked at Capital One, IBM, and SunTrust Bank in senior engineering, architecture, and management roles. His 2002 CMG paper on exception detection received a Best Paper Award. He later developed Perfomalist.com, based on his original methods for anomaly, change-point, and trend detection, and created the online course “Performance Anomaly Detection.” At Capital One, he led development of cloud capacity-management and FinOps solutions, including the award-winning OptiCloud application. He has served on the CMG Board of Directors since 2015. Now semi-retired, Igor focuses on research, writing, and consulting. His current work expands his concept of the “Area of Normal Functioning” (ANF) from technical systems to human, orga
