Waller, Jan and Hasselbring, Wilhelm (2013) Data for: A Benchmark Engineering Methodology to Measure the Overhead of Application-Level Monitoring. ZENODO . DOI 10.5281/zenodo.7615.

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Abstract

Application-level monitoring frameworks, such as Kieker, provide insight into the inner workings and the dynamic behavior of software systems. However, depending on the number of monitoring probes used, these frameworks may introduce significant runtime overhead. Consequently, planning the instrumentation of continuously operating software systems requires detailed knowledge of the performance impact of each monitoring probe.

In this paper, we present our benchmark engineering approach to quantify the monitoring overhead caused by each probe under controlled and repeatable conditions. Our developed MooBench benchmark provides a basis for performance evaluations and comparisons of application-level monitoring frameworks. To evaluate its capabilities, we employ our benchmark to conduct a performance comparison of all available Kieker releases from version 0.91 to the current release 1.8.

This dataset supplements the paper and contains the raw experimental data as well as several generated diagrams for each experiment.

Document Type:	Other
Keywords:	Kieker MooBench Software Performance Engineering Benchmarking
Research affiliation:	Kiel University > Software Engineering
Open Access Journal?:	Yes
Publisher:	ZENODO
Related URLs:	Data link https://eprints.uni-kiel.de/22326/
Projects:	Kieker
Date Deposited:	11 Dec 2013 14:08
Last Modified:	03 Nov 2020 13:41
URI:	https://oceanrep.geomar.de/id/eprint/22648

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