The percent CPU improvement for Domino 7 on all platforms varied by the number of active users.
在所有平台上，Domino7的CPU 性能提高百分率随活动用户数的变化而不同。
NTF mail template at 4000 users used 49.2 percent CPU, with average response time of 0.100 seconds.
Domino 7使用mail7 . ntf邮件模板在4000个用户时使用49.2 %的CPU资源，平均响应时间为0.100秒。
'ps -aux' to collect process information, such as process ID, percent CPU, and virtual memory footprint.
'ps- aux '用于收集进程信息，例如进程ID、CPU百分比以及虚拟内存足迹。
Document the results obtained (up to 28 percent CPU usage improvement) from our upgrade of the production DPARs.
记录从生产DPAR升级中获得的结果(多达28%的CPU使用率改善)。
Domino 6.5 at 4000 users utilized 54.8 percent CPU, with average response time of 0.123 seconds. Domino 7 with the mail6.ntf.
Domino 6.5在4000个用户时使用54.8%的CPU资源，平均响应时间是0.123秒。
This is true in both Domino 6.x and Domino 7, making percent CPU the limiting factor in the number of users that can be supported.
CPU使用百分比限制了所能支持的用户数，在Domino 6 .x和Domino7中都是这样。
If we can measure the power at 0-percent CPU (or as close as possible) and at 100 percent, we can assume a linear interpolation between the two.
如果我们可以测量出CPU在0使用率时(或尽可能接近0)与在100%使用率时的电量，我们就可以假设二者之间是线性关系。
As you can see, there is little CPU penalty to maintaining the index (1 percent in our test case), but a heavy search cost of 20 percent CPU usage.
可以看到，只需要很少的CPU资源来维护索引(在我们的测试用例中是1%)，但是却需要使用高达20%的CPU资源进行搜索。
However, we recommend you use Domino 7 on SLES 9 because our lab measurements show an approximately 10 percent CPU usage saving with SLES 9 over SLES 8.
然而，我们建议您在SLES9上使用Domino7，因为我们的实验室测试显示使用SLES 9可以比SLES8大约节省10%的CPU。
On two other servers, one hosting IGS users and the other users from various departments, we measured 14 percent and 23 percent CPU savings, respectively.
在另外两台服务器上(负责处理IGS用户和各个部门的其他用户)，我们测试到能分别节省14%和23%的CPU。
For our tests, consolidating users from four servers onto a single server resulted in a 10 percent CPU improvement overall, and a reduced memory footprint.
在我们的测试中，合并来自四台服务器的用户到单个服务器上，CPU总体提升10%，还减少了内存的使用。
For our tests, consolidating users from four servers onto a single server resulted in a 10 percent CPU improvement overall, and a reduced memory footprint.
在我们的测试中，合并来自四台服务器的用户到单个服务器上，CPU总体提升10%，还减少了内存的使用。
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