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    <p>I typically throw together a simple script for this type of work.</p> <p>Take a look at the kernel documentation for the proc filesystem (Google 'linux proc.txt').</p> <p>The first line of <code>/proc/stat</code> (Section 1.8 in proc.txt) will give you cumulative cpu usage stats (i.e. user, nice, system, idle, ...). For each process, the file <code>/proc/$PID/stat</code> (Table 1-4 in proc.txt) will provide you with both process-specific cpu usage stats and memory usage stats (see rss).</p> <p>If you google a bit you'll find plenty of detailed info on these files, and pointers to libraries / apps / code snippets that can help you obtain / derive the values you need. With that in mind, I'll focus on the high-level strategy. </p> <p>For CPU stats, use your favorite scripting language to create an executable that takes a set of process ids for monitoring. At a fixed interval (ex: 1 second) poll / calculate the cumulative totals for each process and the system as a whole. During each poll interval, write all results on a single line to stdout.</p> <p>For memory stats, write a similar script, but simply log the per-process memory usage. Memory is a bit easier as we directly obtain the instantaneous values.</p> <p>Run these script for the duration of your test, passing the set of processes ids that you'd like to monitor and redirecting its output to a log file.</p> <pre><code>./logcpu $(pidof foo) $(pidof bar) &gt; cpustats ./logmem $(pidof foo) $(pidof bar) &gt; memstats </code></pre> <p>Import the contents of these files into a spreadsheet (for certain applications this is as easy as copy / paste). For CPU, you are after instantaneous values but have cumulative values, so you'll need to do some minor spreadsheet work to derive these values (it's just the delta 't(x + 1) - t(x)'). Of course you could have your cpu logger write the delta, but you'll be spending a bit more time up front on the script.</p> <p>Finally, use your spreadsheet to generate a nice plot.</p>
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