Workload-intensity-sensitive timing behavior analysis for distributed multi-user software systems
Proceedings of the first joint WOSP/SIPEW international conference on Performance engineering
MSEPT'12 Proceedings of the 2012 international conference on Multicore Software Engineering, Performance, and Tools
On architecture warehouses and software intelligence
FGIT'12 Proceedings of the 4th international conference on Future Generation Information Technology
Self-adaptive workload classification and forecasting for proactive resource provisioning
Proceedings of the 4th ACM/SPEC International Conference on Performance Engineering
Search-based genetic optimization for deployment and reconfiguration of software in the cloud
Proceedings of the 2013 International Conference on Software Engineering
Evolving systems of systems: industrial challenges and research perspectives
Proceedings of the First International Workshop on Software Engineering for Systems-of-Systems
On quick comprehension and assessment of software
Proceedings of the 14th International Conference on Computer Systems and Technologies
Proceedings of the WICSA 2014 Companion Volume
Service Oriented Computing and Applications
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Kieker is an extensible framework for monitoring and analyzing the runtime behavior of concurrent or distributed software systems. It provides measurement probes for application performance monitoring and control-flow tracing. Analysis plugins extract and visualize architectural models, augmented by quantitative observations. Configurable readers and writers allow Kieker to be used for online and offline analysis. This paper reviews the Kieker framework focusing on its features, its provided extension points for custom components, as well the imposed monitoring overhead.