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Add shell scripts to make it easier to collect performance results from traces, live tests, and phoronix tests. With run_performance_tests.sh you specify the following: - a subject program to run, using --root - a name to give to this set of results, using --variant - a test to run, using --test - a file to write the results to, using --results. For tests that start with "trace", the script runs falco/sysdig on the trace file and measures the time taken to read the file. For other tests, he script handles starting falco/sysdig, starting a cpu measurement script (a wrapper around top, just to provide identical values to what you would see using top) to measure the cpu usage of falco/sysdig, and running a live test. The measurement interval for cpu usage depends on the test being run--10 seconds for most tests, 2 seconds for shorter tests. The output is written as json to the file specified in --results. Also add R scripts to easily display the results from the shell script. plot-live.r shows a linechart of the cpu usage for the provided variants over time. plot-traces.r shows grouped barcharts showing user/system/total time taken for the provided variants and traces. One bug--you have to make the results file actual json by adding leading/trailing []s.
36 lines
1.0 KiB
R
36 lines
1.0 KiB
R
require(jsonlite)
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library(ggplot2)
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library(reshape)
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res <- fromJSON("/home/mstemm/results.txt", flatten=TRUE)
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plot <- ggplot(data=res, aes(x=config, y=elapsed.real)) +
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geom_bar(stat = "summary", fun.y = "mean") +
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coord_flip() +
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facet_grid(shortfile ~ .) +
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ylab("Wall Clock Time (sec)") +
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xlab("Trace File/Program")
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ggsave(file="/mnt/sf_mstemm/res-real.png")
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plot <- ggplot(data=res, aes(x=config, y=elapsed.user)) +
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geom_bar(stat = "summary", fun.y = "mean") +
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coord_flip() +
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facet_grid(shortfile ~ .) +
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ylab("User Time (sec)") +
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xlab("Trace File/Program")
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ggsave(file="/mnt/sf_mstemm/res-user.png")
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res2 <- melt(res, id.vars = c("config", "shortfile"), measure.vars = c("elapsed.sys", "elapsed.user"))
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plot <- ggplot(data=res2, aes(x=config, y=value, fill=variable, order=variable)) +
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geom_bar(stat = "summary", fun.y = "mean") +
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coord_flip() +
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facet_grid(shortfile ~ .) +
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ylab("User/System Time (sec)") +
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xlab("Trace File/Program")
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ggsave(file="/mnt/sf_mstemm/res-sys-user.png")
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