Status: Class: Final External Management Summary
نویسندگان
چکیده
Business activity monitoring enables continuous monitoringof key performance indicators (KPIs). However, if things go wrong, adeeper analysis of process performance becomes necessary. Business an-alysts want to learn about the factors that influence the performanceof business processes and most often contribute to the violation of KPItarget values, and how they relate to each other. We provide a frame-work for performance monitoring and analysis of WS-BPEL processes,which consolidates process events and Quality of Service measurements.The framework uses techniques from the area of machine learning in or-der to construct tree structures, which represent the dependencies of aKPI on process and QoS metrics. These dependency trees allow businessanalysts to analyze how the process KPIs depend on lower-level processmetrics and QoS characterisitics of the IT infrastructure. Deeper knowl-edge about the structure of dependencies can be gained by drill-downanalysis of single factors of influence.
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