Automated extraction of architecture-level performance models of distributed component-based systems

  • Authors:

  • Fabian Brosig;Nikolaus Huber;Samuel Kounev

  • Affiliations:

  • Karlsruhe Institute of Technology (KIT), 76131, Germany;Karlsruhe Institute of Technology (KIT), 76131, Germany;Karlsruhe Institute of Technology (KIT), 76131, Germany

  • Venue:
  • ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
  • Year:
  • 2011

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Abstract

Modern enterprise applications have to satisfy increasingly stringent Quality-of-Service requirements. To ensure that a system meets its performance requirements, the ability to predict its performance under different configurations and workloads is essential. Architecture-level performance models describe performance-relevant aspects of software architectures and execution environments allowing to evaluate different usage profiles as well as system deployment and configuration options. However, building performance models manually requires a lot of time and effort. In this paper, we present a novel automated method for the extraction of architecture-level performance models of distributed component-based systems, based on monitoring data collected at run-time. The method is validated in a case study with the industry-standard SPECjEnterprise2010 Enterprise Java benchmark, a representative software system executed in a realistic environment. The obtained performance predictions match the measurements on the real system within an error margin of mostly 10 -- 20 percent.