Waller, Jan and Hasselbring, Wilhelm (2012) Benchmark for: A Comparison of the Influence of Different Multi-Core Processors on the Runtime Overhead for Application-Level Monitoring. ZENODO . DOI 10.5281/zenodo.7620.

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Abstract

Application-level monitoring is required for continuously operating software systems to maintain their performance and availability at runtime. Performance monitoring of software systems requires storing time series data in a monitoring log or stream. Such monitoring may cause a significant runtime overhead to the monitored system.

In this paper, we evaluate the influence of multi-core processors on the overhead of the Kieker application-level monitoring framework. We present a breakdown of the monitoring overhead into three portions and the results of extensive controlled laboratory experiments with microbenchmarks to quantify these portions of monitoring overhead under controlled and repeatable conditions. Our experiments show that the already low overhead of the Kieker framework may be further reduced on multi-core processors with asynchronous writing of the monitoring log.

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 set supplements the paper and contains the used benchmark and its configuration for all experiments.

Document Type:	Other
Keywords:	Kieker MooBench Software Performance Engineering Benchmarking
Research affiliation:	Kiel University > Software Engineering
Open Access Journal?:	Yes
Publisher:	ZENODO
Related URLs:	Code-Repository/git https://eprints.uni-kiel.de/15425/
Projects:	Kieker
Date Deposited:	11 Dec 2013 14:16
Last Modified:	03 Nov 2020 13:40
URI:	https://oceanrep.geomar.de/id/eprint/22651

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