I have recently looked at the following OPNET resources to get impressions of OPNET Panorama tool:
1. Link to website: http://www.opnet.com/solutions/application_performance/panorama.html
2. White paper downloaded from that site: "Understanding OPNET Panorama’s Performance Analysis Engines"
General comment: OPNET becomes the next generation tool provider that has “learning behavior” capabilities that are similar with what I do for years with my SEDS and with tools from other Vendors, such as Netuitive, Integrien and ProactiveNet (BMC) that I have recently studied (check my older postings: http://itrubin.blogspot.com/2009/02/realtime-statistical-exception.html).
Special comment: In the OPNET white paper I read: "Metrics that exhibit deviations from normal are automatically identified and assigned scores based on “how abnormal” their behavior is."
This is very close to what I introduced in my 1st CMG paper in 2001("Exception Detection System, Based on the Statistical Process Control Concept" ) and called ExtraVolume of a metric (I call that now Exception Value (EV) meta-metric). In OPNET’s white paper referenced to that my CMG’01 paper, but they did not mention that they use very similar approach to rang exceptions (“Area Out vs. Limit Range In Metric Scoring”).
Here is example from my 1st CMG paper of the usage EV metric to build the TOP exceptional Unix servers list:
I had even tied to normalize that metric to some Unix benchmarks (TPC) to compare ranges of exceptional capacity usage ecross diferent type of servers and configurations. The example of the report is in the paper.
Al in all, it is a good news that another vendor has been adopting that technology (maybe with some of my work’s influence!). Based on my experience with OPNET tools (very limited, just ITD Guru for network and some server behavior simulations), that tool most likely can be trusted. To speak more I need at least to play with demo….
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, December 29, 2009
Exception Value (EV) and OPNET Panorama
Posted by Igor Trubin at 9:33 PM
Labels: Capacity Managment, EV, OPNET, OPNET Panorama
He started in 1979 as IBM/370 system engineer. In 1986 he got his PhD. in Robotics at St. Petersburg Technical University (Russia) and then worked as a professor teaching CAD/CAM, Robotics for 12 years. He published 30+ papers and made several presentations for conferences related to the Robotics and Artificial Intelligent fields. In 1999 he moved to the US, worked at Capital One bank as a Capacity Planner. His first CMG.org paper was written and presented in 2001. The next one, "Exception Detection System Based on MASF Technique," won a Best Paper award at CMG'02 and was presented at UKCMG'03 in Oxford, England. He made other tech. presentations at IBM z/Series Expo, SPEC.org, Southern and Central Europe CMG and ran several workshops covering his original method of Anomaly and Change Point Detection (Perfomalist.com). Author of “Performance Anomaly Detection” class (at CMG.com). Worked 2 years as the Capacity team lead for IBM, worked for SunTrust Bank for 3 years and then at IBM for 3 years as Sr. IT Architect. Now he works for Capital One bank as IT Manager at the Cloud Engineering and since 2015 he is a member of CMG.org Board of Directors. Runs UT channel iTrubin
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Igor, I was wondering about using multivariate novelty detection. For example, a unix server is 2 stds above the mean for an hour AND the global run queue is greater than the acceptable threshold of X.ReplyDelete
The point being that a high CPU utilization may be 'unexpected' but in combination with a high run queue (RQ>=x) it is 'troubling'.
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Blogs are so informative where we get lots of information on any topic. Nice job keep it up!!ReplyDelete
well your Po$t is good and i really like it :). . .awesome WORK . . .KEEP SHARING. .;)ReplyDelete