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  Introduction to Performance Anomaly Detection

One of the most powerful ways to visualize computer system behavior is the Control Chart. Originally used in Mechanical Engineering, it has become one of the main Six Sigma tools to optimize business processes, and after some adjustments it is used in IT Capacity Management area especially in “behavior learning” or “anomaly detection” products.

During the workshop the following topics will be discussed:

  • What is the Control Chart?
  • Where the Control Chart is used: review of some systems performance tools that use it.
  • Control chart types: MASF charts vs. SPC.
  • Gallery of already published charts in CMG papers plus some new charts with explanations on how to read them.
  • How to build a Control Chart: using Excel for interactive analysis and R to do it automatically.

The class includes a live demonstration of Excel to build different types of control charts against real performance data. Students will be provided the data in spreadsheets and will build Control Charts themselves even with their own data. Finally, they will be able to run an R-script to build a Control Chart based on input CSV data using AWS cloud R server which they could built themselves by provided instructions.