On Wed, 16 Aug 2006, Bachilo Dmitry wrote: > Here is what I see: > > CPU states: 9.6% user, 0.0% nice, 58.5% system, 31.9% interrupt, 0.0% idle > Mem: 127M Active, 664M Inact, 138M Wired, 48M Cache, 111M Buf, 21M Free > Swap: 64M Total, 272K Used, 64M Free > > PID USERNAME PRI NICE SIZE RES STATE TIME WCPU CPU COMMAND > 11 root 171 52 0K 8K RUN 422.7H 33.06% 33.06% idle > 462 root 109 0 1496K 952K RUN 202:44 21.53% 21.53% natd > 37 root -44 -163 0K 8K WAIT 99:09 5.08% 5.08% swi1: net > 29 root -68 -187 0K 8K RUN 59:11 3.52% 3.52% irq19: xl0 > 30 root -68 -187 0K 8K WAIT 40:38 3.47% 3.47% irq20: xl1 > > This machine is Celeron 1,7 Ghz and 1 GB RAM and it gives me 3,7 MB per > second max. While my home router is Celeron 1,7 Ghz with 512 MB RAM, the > same xl NICs and I have almost 10 MB per second there with at least 48% of > free CPU. I'll keep on testing this stuff, so i'll keep reporting the > results. You appear to have omitted the systat -vmstat 1 output. BTW, there are typically three influences on processing cost for traffic: packets per second, size of packets, and contents of packets. In the case of natd, the contents are almost irrelevant, so the costs are really based on number of packets processed, and the size of the packets. You compare the two systems in terms of bandwidth, which is more often a property of packet size. Could you compare the systems in terms of number of packets per second through the system? As each packet requires two (or more) system calls for natd, lots of small packets can cost more to process than a smaller number of bigger packets. If your home system is processing larger packets, it may use less CPU than the same system processing many smaller packets at the office, for example. Finally, are you running any tools such as tcpdump, trafshow, etc, which use bpf? Any additional programs that perform per-packet operations will result in additional per-packet context switches, forcing full context switches between processes, not just switching in and out of the kernel, which is lighter-weight. This can have a significant impact on performance, perhaps more significant than expected. Robert N M Watson Computer Laboratory University of CambridgeReceived on Wed Aug 16 2006 - 07:35:47 UTC
This archive was generated by hypermail 2.4.0 : Wed May 19 2021 - 11:38:59 UTC