cosbench-plot is a tool to analyze the statistics produced by COSBench (https://github.com/intel-cloud/cosbench) and create charts to compare different workstages and workloads.
NOTE: this tool is developed independently from COSBench.
The most important concept in cosbench-plot is how relationships between workloads are established.
Every analysis requires one or more lists of workloads as input. Since there is no metadata to inform cosbench-plot about the nature of the workloads, a relationship is established according to the relative ordering of the workload IDs in the lists.
In COSBench, workloads have unique IDs. If, for example, workloads 4 and 5 relate to Ceph and workloads 18 and 21 contain matching workstages for Swift, two lists consisting of [4,5] and [18,21] could be setup to be used in cosbench-plot.
Currently, this usage model may impose limitations in case workloads and workstages are organized in different ways (e.g., if there is only a single workload containing many workstages, some more high-level graph that compare workloads cannot be effectively used).
Five main categories of graphs can be currently generated by cosbench-plot (refer to the "charts-example" folder for examples):
- A comparison of a single metric of a single workstage for each workstage in each corresponding workload (charts-examples/SingleWorkstageAndMetric.svg)
- A comparison of a single metric for all the workstages of a workload and matching workstages of corresponding workloads (charts-examples/WorkstagesThroughput.svg)
- A scatter plot of values of a certain metric for each workstage of each workload (charts-examples/WorkloadScatter.svg)
- A response time and CDF curve for workstages of different workloads (charts-examples/ResponseTime-CDF.svg)
- A high level overview showing, for a certain metric, for each workload, the highest average value across some determined workstages (charts-examples/WorkloadsThroughput.svg)
At the moment, cosbench-plot is a Python library, so there is no CLI/GUI. The intended usage entails writing some Python code to describe the charts that must be plotted.
For some usage examples, please check the examples package.
Some more user-friendly documentation will be available soon, in the meantime, please use the contact information if you are interested in using this sofwtare and need some help.
There are no releases at the moment other than the HEAD on the master branch!
- Python >= 2.7
- matplotlib for python: http://matplotlib.org/ (probably available in your distro repositories)
Vincenzo Pii - [email protected]