4、再开启一个容器，占CPU比重为3000，并观察CPU使用情况
[root@elk ~]# docker run -it --rm -c 3000 agileek/cpuset-test
Burning 8 CPUs/cores
另开终端观察CPU占用情况
[root@elk ~]# top top - 08:17:35 up 27 days, 20:25, 4 users, load average: 11.86, 6.29, 2.72 Tasks: 227 total, 2 running, 225 sleeping, 0 stopped, 0 zombie %Cpu(s):100.0 us, 0.0 sy, 0.0 ni, 0.0 id, 0.0 wa, 0.0 hi, 0.0 si, 0.0 st KiB Mem: 16151132 total, 3752724 used, 12398408 free, 6624 buffers KiB Swap: 8200188 total, 0 used, 8200188 free. 1851692 cached Mem PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ COMMAND 17494 root 20 0 36732 932 560 S 602.1 0.0 3:54.95 cpuburn 17258 root 20 0 36732 936 564 S 197.9 0.0 39:34.78 cpuburn 927 root 20 0 19112 1168 948 S 0.3 0.0 3:04.34 irqbalance 17532 root 20 0 123680 1732 1148 R 0.3 0.0 0:00.01 top 1 root 20 0 50684 4488 2336 S 0.0 0.0 0:32.36 systemd 2 root 20 0 0 0 0 S 0.0 0.0 0:00.45 kthreadd 3 root 20 0 0 0 0 S 0.0 0.0 0:04.83 ksoftirqd/0 5 root 0 -20 0 0 0 S 0.0 0.0 0:00.00 kworker/0:0H 7 root rt 0 0 0 0 S 0.0 0.0 0:00.50 migration/0 8 root 20 0 0 0 0 S 0.0 0.0 0:00.00 rcu_bh 9 root 20 0 0 0 0 S 0.0 0.0 0:00.00 rcuob/0 10 root 20 0 0 0 0 S 0.0 0.0 0:00.00 rcuob/1 11 root 20 0 0 0 0 S 0.0 0.0 0:00.00 rcuob/2 12 root 20 0 0 0 0 S 0.0 0.0 0:00.00 rcuob/3 13 root 20 0 0 0 0 S 0.0 0.0 0:00.00 rcuob/4 14 root 20 0 0 0 0 S 0.0 0.0 0:00.00 rcuob/5 15 root 20 0 0 0 0 S 0.0 0.0 0:00.00 rcuob/6 |
此时可以看到，PID17258的进程（我们开启的第一个docker容器）CPU占到了全部8颗CPU的1/4，也就是200%。而新开启的，占比3000的docker容器站到了全部8颗CPU的3/4，也就是600%。
