JIRA Issue: KIEKER-1002 Visualize software performance characteristics (e.g., in XY-plots)
Original Reporter: Jan Waller
Brief explanation:
In addition to its use for [architecture discovery and visualization|Kieker:architecture-discovery/] based on monitored traces, Kieker can be employed as an [Application Performance Monitoring (APM)|Kieker:apm/] tool. To enhance Kieker's APM support, visualization components for performance characteristics, such as the response times of method calls, are needed. One example of such a visualizations would be a simple XY-plot with the elapsed time and the respective measured response time as axes. Many further possibilities are imaginable (histograms, density plots, etc.). Some examples are available in the [Kieker live demo|Kieker:demo/]; however, they are not in a state that supports easy reuse.
The available TSLib (
KIEKER-830
Done
) provides support for the analysis of time series based performance data. Of further interest can be the development of (generic) filters to support grouping or aggregation of collected data for downstream visualizations (e.g., aggregated by trace, all entry methods, ...).
To summarize, the goal of this project idea is providing a set of generic and configurable filters for common visualizations of (monitoring) data.
With respect to the used technology, it would be good if the developed solution integrates nicely with our Web-based UI; hence, SVG in combination with JavaScript/Ajax would be a possible option.
For the evaluation of the developed solution, we have quite a large set of trace data from our industrial case studies (which could also be replayed using Kieker in the online trace visualization case).
Related tickets:
KIEK-868: Live installation/server of instrumented system + analysis/visualization
KIEK-793: Basic XY time series plotter
KIEK-830: Integrate TSLib (Time Series Lib) into core distribution
KIEK-1114: Integrate OPAD into core distribution
KIEK-627: Feature wish: Flame graphs
KIEK-1158: Feature wish: Integration with Graphite/Whisper for storing/displaying time series data
After the successful completion of this project, Kieker provides mechanisms to visualize different performance characteristics collected in monitoring logs. The visualization may be generated offline or online.
Knowledge prerequisite:
The student working on this topic should
be a practiced Java developer
be interested in software performance engineering (SPE)
be interested in visualizations of (performance) data
have basic knowledge in the chosen technologies (can be acquired during the project)
Skill level:
low to medium
Additional documentation:
Some resources on the visualizations already supported by the TraceAnalysis tool:
The [Kieker user guide|Kieker:documentation/] documents the visualizations currently included in the Kieker release.
van Hoorn, A. (2012) Kieker: Overview, Review, and Outlook (Talk) In: KoSSE-Symposium Application Performance Management (Kieker Days 2012), November 29/30, 2012, Kiel, Germany.
Bettual Richter's and Felix Magedanz's theses include visualizations from a COBOL and a C# system:
JIRA Issue: KIEKER-1002 Visualize software performance characteristics (e.g., in XY-plots) Original Reporter: Jan Waller
Brief explanation:
In addition to its use for [architecture discovery and visualization|Kieker:architecture-discovery/] based on monitored traces, Kieker can be employed as an [Application Performance Monitoring (APM)|Kieker:apm/] tool. To enhance Kieker's APM support, visualization components for performance characteristics, such as the response times of method calls, are needed. One example of such a visualizations would be a simple XY-plot with the elapsed time and the respective measured response time as axes. Many further possibilities are imaginable (histograms, density plots, etc.). Some examples are available in the [Kieker live demo|Kieker:demo/]; however, they are not in a state that supports easy reuse.
The available TSLib (
KIEKER-830
Done
) provides support for the analysis of time series based performance data. Of further interest can be the development of (generic) filters to support grouping or aggregation of collected data for downstream visualizations (e.g., aggregated by trace, all entry methods, ...).
To summarize, the goal of this project idea is providing a set of generic and configurable filters for common visualizations of (monitoring) data.
With respect to the used technology, it would be good if the developed solution integrates nicely with our Web-based UI; hence, SVG in combination with JavaScript/Ajax would be a possible option.
For the evaluation of the developed solution, we have quite a large set of trace data from our industrial case studies (which could also be replayed using Kieker in the online trace visualization case).
Related tickets:
Expected results:
After the successful completion of this project, Kieker provides mechanisms to visualize different performance characteristics collected in monitoring logs. The visualization may be generated offline or online.
Knowledge prerequisite:
The student working on this topic should
Skill level:
Additional documentation:
Candidate Mentor(s):
The primary contact for this project idea is marked in bold font.