Waller, Jan, Fittkau, Florian and Hasselbring, Wilhelm (2014) Data for: Application Performance Monitoring: Trade-Off between Overhead Reduction and Maintainability ZENODO.Full text not available from this repository.
Monitoring of a software system provides insights into its runtime behavior, improving system analysis and comprehension. System-level monitoring approaches focus, e.g., on network monitoring, providing information on externally visible system behavior. Application-level performance monitoring frameworks, such as Kieker or Dapper, allow to observe the internal application behavior, but introduce runtime overhead depending on the number of instrumentation probes.
We report on how we were able to significantly reduce the runtime overhead of the Kieker monitoring framework. For achieving this optimization, we employed micro-benchmarks with a structured performance engineering approach. During optimization, we kept track of the impact on maintainability of the framework. In this paper, we discuss the emerged trade-off between performance and maintainability in this context.
To the best of our knowledge, publications on monitoring frameworks provide none or only weak performance evaluations, making comparisons cumbersome. However, our micro-benchmark, presented in this paper, provides a basis for such comparisons. Our experiment code and data are available as open source software such that interested researchers may repeat or extend our experiments for comparison on other hardware platforms or with other monitoring frameworks.
This is the dataset containing the results of our conducted benchmarks.
|Keywords:||ExplorViz, Kieker, Trace Processing|
|Research affiliation:||Kiel University > Faculty of Engineering > Department of Computer Science > Software Engineering
Kiel University > Kiel Marine Science
|Date Deposited:||26 Sep 2014 12:18|
|Last Modified:||28 Sep 2014 20:24|
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