We spent 2 days there during our long X-mass weekend.
More video may be coming...
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More video may be coming...
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Sunday, December 28, 2014
Monday, December 22, 2014
Корюшкa к празднику - Smelts For Holiday Dinner!
Based on Anfisa: "Small fish found everywhere according to wiki: Atlantic and Pacific oceans, freshwater - rivers. They probably can live in cold water.. In St. Petersburg they are caught during seasonal movement of fish when ice breaks. During those couple weeks city has special fish smell because smelts are sold on the streets.
Apparently it is "season" in Whole Foods. It is tasty and special!"
Sunday, December 21, 2014
Saturday, December 20, 2014
Thursday, December 18, 2014
CMG'14: "A New (?) Approach to Capacity Forecasting" vs. IT Control Charts
I have enjoyed as usual the CMG'14 International conference and found a few papers there still related to this particular blog subject.
One of them is " A New Approach to Capacity Forecasting by Linda Carroll (IBM, USA)
Traditionally, a capacity forecast is presented at the month view of the data and has the tendency to represent capacity trends in a straight predictable line. This paper will show the value of measuring and reporting system capacity based on a weekly view. It also introduces the use of Process Control Analysis to confirm the forecasting methodology and the accuracy of the capacity forecast. What differentiates this methodology is that it is currently being used in real world operations where it has been very successful.
This paper I am afraid is attempt to "re-invent the wheel" as SPC and MASF variation of that has found the way to be used in Capacity planning for years and specifically my CMG papers have detailed explanation how to do it by using Control charts and especially weekly ones (IT-Control Charts). Bellow video has some example of short term forecasting that IT-Control chart can do:
One of them is " A New Approach to Capacity Forecasting by Linda Carroll (IBM, USA)
Traditionally, a capacity forecast is presented at the month view of the data and has the tendency to represent capacity trends in a straight predictable line. This paper will show the value of measuring and reporting system capacity based on a weekly view. It also introduces the use of Process Control Analysis to confirm the forecasting methodology and the accuracy of the capacity forecast. What differentiates this methodology is that it is currently being used in real world operations where it has been very successful.
This paper I am afraid is attempt to "re-invent the wheel" as SPC and MASF variation of that has found the way to be used in Capacity planning for years and specifically my CMG papers have detailed explanation how to do it by using Control charts and especially weekly ones (IT-Control Charts). Bellow video has some example of short term forecasting that IT-Control chart can do:
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About Me
- Igor Trubin
- 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