
format of statistics output:
•
-R
will output raw (single number) timestamps.
•
-C
will output comma seperated statistics.
•
-q
will suppress printing of non-statistics information.
For example, to output a command seperated log of event statistics, you could use:
[user@host rhino]$ ./client/bin/rhino-stats -m Events -R -C -q
8.4 Graphical Mode
When run in graphical mode using the
-g
switch the
rhino-stats
client offers a range of options for interactively extracting
and graphically displaying statistics gathered from Rhino SLEE. The following types of graph are available:
• Counter/gauge plots. These display the values of gauges, or the change in values of counters over time. It is possible
to display multiple counters or gauges using different colours. The client application stores 1 hours worth of statistics
history for review.
• Sample distribution plots. These display the 5th, 25th, 50th, 75th, and 95th percentiles of a sample distribution as they
change over time, either as a bar and whisker type graph or as a series of line plots.
• Sample distribution histogram. This displays a constantly updating histogram of a sample distribution in both logarithmic
and linear scales.
To create a graph start the
rhino-stats
client with the
-g
option:
[user@host rhino]$ ./client/bin/rhino-stats -g
After a short delay the application will be ready to use. A browser panel on the left side shows the available parameter sets
hierarchy in a tree form.
From the browser it is possible to quickly create a simple graph of a given statistic by right clicking on the parameter set in the
browser.
More complex graphs comprising multiple statistics can be created using the graph creation wizard. In the following example
screenshots, a plot is created that displays event processing counter statistics from the resource adaptor entity “TestRA”.
To create a new graph, choose “New” from the Graph menu. This will display the graph creation wizard.
The wizard has the following options:
• Create a plot of one or more counters or gauges. This will allow the user to select multiple statistics and combine them
in a single line plot type graph.
• Create a plot of a sample distribution. This will allow the user to select a single sample type statistic and plot its percentile
values on a line plot.
• Create a histogram of a sample distribution. This will allow the user to select a single sample type statistic and display a
histogram of the frequency distribution.
– A rolling distribution gives a frequency distribution which is influenced by the last X generations of samples.
– A resetting distribution gives a frequency distribution which is influenced by all samples since the client last
sampled statistics.
– A permanent distribution gives a frequency distribution which is influenced by all samples since monitoring
started.
Open Cloud Rhino 1.4.3 Administration Manual v1.1 59
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