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CPU utilization is not a useful metric
by Jared Still on Jan 22, 2018 12:00:00 AM
top
top reports a load of 1.66. Is this correct? No. The correct load number is probably closer to 2.4.
# top -b -n 1| head -20
top - 11:27:45 up 151 days, 1:55, 7 users, load average: 1.66, 1.84, 1.88
Tasks: 389 total, 3 running, 386 sleeping, 0 stopped, 0 zombie
Cpu(s): 0.7%us, 20.6%sy, 1.2%ni, 77.3%id, 0.1%wa, 0.0%hi, 0.1%si, 0.0%st
Mem: 32639636k total, 32206476k used, 433160k free, 235732k buffers
Swap: 16359420k total, 10285664k used, 6073756k free, 2354840k cached
PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND
16702 root 20 0 8274m 5.0g 5.0g S 85.1 16.1 59164:55 VirtualBox
4657 root 20 0 9.8g 5.2g 5.1g S 45.5 16.6 26518:13 VirtualBox
6239 root 20 0 9.8g 5.1g 5.1g S 39.6 16.5 31200:52 VirtualBox
27070 root 20 0 7954m 5.4g 5.4g S 17.8 17.5 17049:30 VirtualBox
27693 root 20 0 2233m 441m 20m S 5.9 1.4 3407:34 firefox
7648 root 20 0 6758m 4.1g 4.1g S 4.0 13.2 17069:52 VirtualBox
6633 root 20 0 368m 63m 31m R 2.0 0.2 1338:58 Xorg
14727 root 20 0 15216 1344 828 R 2.0 0.0 0:00.01 top
1 root 20 0 19416 932 720 S 0.0 0.0 0:00.90 init
2 root 20 0 0 0 0 S 0.0 0.0 0:03.53 kthreadd
3 root 20 0 0 0 0 S 0.0 0.0 2:08.23 ksoftirqd/0
5 root 0 -20 0 0 0 S 0.0 0.0 0:00.00 kworker/0:0H
7 root 0 -20 0 0 0 S 0.0 0.0 0:00.00 kworker/u:0H
sar
sar does not show the load average, but does report what it thinks is CPU utilization. Is it correct? Again, no. Actual idle should be closer 45-50%.
# sar 1 1
Linux 3.8.13-16.2.1.el6uek.x86_64 (myserver.jks.com) 01/22/2018 _x86_64_ (8 CPU)
11:29:32 AM CPU %user %nice %system %iowait %steal %idle
11:29:33 AM all 0.88 1.00 17.27 0.00 0.00 80.85
Average: all 0.88 1.00 17.27 0.00 0.00 80.85
mpstat
mpstat reports per CPU. Again, these values are not quite correct.
# mpstat -P ALL
Linux 3.8.13-16.2.1.el6uek.x86_64 (myserver.jks.com) 01/22/2018 _x86_64_ (8 CPU)
11:35:49 AM CPU %usr %nice %sys %iowait %irq %soft %steal %guest %idle
11:35:49 AM all 0.74 1.19 20.58 0.11 0.00 0.06 0.00 0.00 77.32
11:35:49 AM 0 1.11 1.18 20.24 0.58 0.00 0.48 0.00 0.00 76.42
11:35:49 AM 1 0.88 1.32 22.45 0.08 0.00 0.02 0.00 0.00 75.25
11:35:49 AM 2 0.84 1.34 22.78 0.06 0.00 0.01 0.00 0.00 74.98
11:35:49 AM 3 0.81 1.31 21.69 0.05 0.00 0.00 0.00 0.00 76.15
11:35:49 AM 4 0.64 1.00 16.76 0.05 0.00 0.00 0.00 0.00 81.54
11:35:49 AM 5 0.57 1.11 19.28 0.02 0.00 0.00 0.00 0.00 79.02
11:35:49 AM 6 0.57 1.10 19.46 0.02 0.00 0.00 0.00 0.00 78.85
Finally the venerable
uptime command:
uptime
# uptime
11:29:48 up 151 days, 1:57, 7 users, load average: 1.70, 1.81, 1.87
Notice that mpstat and sar both report 8 CPUs, and that is the crux of the problem. Why is that a problem? It is a problem because this machine does not have 8 CPUs; it has only 4. The CPU is an Intel i7-4790S with hyperthreading enabled. When hyperthreading is enabled, Linux utilities believe that the number of CPUs is actually twice the number actually present. In this case it appears to
top,
sar,
mpstat and
uptime that there are 8 CPUs, when in reality there are only 4.
What is Hyperthreading?
"But wait; doesn't hyperthreading double the processing power of my CPU?" you may ask. Well, no, it doesn't. Hyperthreading is a clever bit of technology from Intel that allows the operating system to better take advantage of a CPU during what would otherwise be idle time. Please refer to the references list if you would like more detail. There are many sources that estimate the performance advantage of enabling hypertreading vs not enabling it. A good summary of the rules of thumb of expected performance benefits when hyperthreads are enabled:Socket Count | Max Benefit % |
---|---|
1 | 30% |
2 | 15% |
3+ | testing required |
Is hyperthreading enabled?
So by now you probably would like to know how to determine if hyperthreading is enabled. There are a couple things you need to know to investigate this. First find out the info about the CPU in question. The following instructions are for Linux. Start by determining the CPU model. Here is one easy method to find it:
# grep CPU /proc/cpuinfo
model name : Intel(R) Core(TM) i7-4790S CPU @ 3.20GHz
model name : Intel(R) Core(TM) i7-4790S CPU @ 3.20GHz
model name : Intel(R) Core(TM) i7-4790S CPU @ 3.20GHz
model name : Intel(R) Core(TM) i7-4790S CPU @ 3.20GHz
model name : Intel(R) Core(TM) i7-4790S CPU @ 3.20GHz
model name : Intel(R) Core(TM) i7-4790S CPU @ 3.20GHz
model name : Intel(R) Core(TM) i7-4790S CPU @ 3.20GHz
model name : Intel(R) Core(TM) i7-4790S CPU @ 3.20GHz
The next step is to point your browser at
https://ark.intel.com/, and then search for the exact CPU model. Searching for i7-4790S shows there are 4 cores and 8 threads available, so this CPU is capable of hyperthreading. The next step is to determine if hyperthreads are enabled. Doing so is less straightforward than previous steps. The following process can be used to determine the actual number of physical cores, and then compare that to the number of cores presented to the OS.
number of physical cores
There are 4 cores in this case
# grep 'core id' /proc/cpuinfo | sort -u
core id : 0
core id : 1
core id : 2
core id : 3
number of processors
8 are shown
# grep 'processor' /proc/cpuinfo | sort -u
processor : 0
processor : 1
processor : 2
processor : 3
processor : 4
processor : 5
processor : 6
processor : 7
The number of reported processors are double the number of physical cores, indicating that hyperthreads are enabled. This was tested on another server as well, one with 4 sockets of 10 cores each and hyperthreading known to be enabled. As there are only 40 physical cores enabled it is clear that hyperthreading is enabled.
$ grep 'core id' /proc/cpuinfo | sort -u| wc -l
10
$ grep 'processor' /proc/cpuinfo | sort -u| wc -l
80
So, what now?
The time for using CPU utilization as a metric to drive for performance improvements is now long past. CPU technology has advanced so much in the past several years that this metric now has limited usefulness. Load Averages and CPU utilization may still be useful as barometers on systems where it is known that exceeding a certain threshold indicates there may be some issues to look at. Other than that though, these metrics have outlived their usufullnes if the goal is to drive performance improvement through monitoring and mitigation of key metrics. For much more detailed information, please refer the the Reference section at this end of this blog.References
Will Hyper-Threading Improve Processing Performance? CPU Utilization is Wrong Utilization is Virtually Useless as a Metric! Linux Load Averages: Solving the MysteryShare this
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