A framework for detecting performance design and deployment antipatterns in component based enterprise systems

Abstract

In this paper a framework to automatically detect design and deployment antipatterns in component based enterprise systems is presented. The approach taken monitors a running system and makes use of statistical analysis and techniques from the field of data mining to summarise the performance data collected. Performance antipatterns are detected from the summarised data using a rule-engine approach and are assessed in terms of their performance impact using performance models. Any antipatterns found are presented to the user in a diagramatic format.