van Hoorn, Andre, Vögele, Christian, Schulz, Eike, Hasselbring, Wilhelm and Krcmar, Helmut (2014) Automatic Extraction of Probabilistic Workload Specifications for Load Testing Session-Based Application Systems [Paper] In: 8th International Conference on Performance Evaluation Methodologies and Tools (ValueTools 2014), December 9-11, 2014, Bratislava, Slovakia.
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Workload generation is essential to systematically evaluate performance properties of application systems under controlled conditions, e.g., in load tests or benchmarks. The definition of workload specifications that represent the real workload as accurately as possible is one of the biggest challenges in this area. This paper presents our approach for the modeling and automatic extraction of probabilistic workload specifications for load testing session-based application systems. The approach, called WESSBAS, comprises (i.) a domain specific language (DSL) enabling layered modeling of workload specifications as well as support for (ii.) automatically extracting instances of the DSL from recorded sessions logs and (iii.) transforming instances of the DSL to workload specifications of existing load testing tools. During the extraction process, different groups of customers with similar navigational patterns are identified using clustering techniques. We developed corresponding tool support including a transformation to probabilistic test scripts for the Apache JMeter load testing tool. The evaluation of the proposed approach using the industry standard benchmark SPECjEnterprise2010 demonstrates its applicability and representativeness of the extracted workloads.
|Document Type:||Conference or Workshop Item (Paper)|
|Keywords:||Workload Specifications, Load Testing, Clustering, Session-based Application Systems, Load Test Extraction|
|Research affiliation:||Kiel University > Faculty of Engineering > Department of Computer Science > Software Engineering
Kiel University > Kiel Marine Science
|Date Deposited:||07 Nov 2014 12:32|
|Last Modified:||20 Apr 2016 11:48|
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