支持活动用户帮助桌面的网站。
在6000个用户时，每个分区上有1500个活动用户。
At the 6000 user point, 1500 users were active in each partition.
这就是某个时间间隔的活动用户总数除以该时间间隔的事务总数。
This is the total number of transactions for some interval divided by the total number of active users for that interval.
活动用户率表明有多少不同的用户在规定间隔内是活动的。
Count. The active user rate shows how many different users were active in the indicated interval.
虽然活动用户数是相同的，但每活动用户的事务数发生了变化。
While the active user counts were the same, the number of transactions per active user changed.
部分活动用户的减少也归结于随时间的推移在任何给定dpar上的损失率。
Part of the active user drop can also be attributed to the attrition rate on any given DPAR over time.
对于所有三种活动用户负载，用户响应时间均小于 0.20秒。
User response times were less than 0.20 seconds for all three active user loads.
我们已经给出了每个DPAR使用的总cpu和每15分钟活动用户的CPU。
We have presented both the total CPU used by each DPAR and the CPU per active 15-minute user.
参阅Derby项目网站，以获得手册、源代码和邮件列表上的活动用户社区。
See the Derby project Web site for manuals, source code, and an active user community on the mailing lists.
蓝色的条说明了相同的比较，但我们用总cpu除以15分钟活动用户数。
The blue bars illustrate the same comparison, but we have divided the total CPU by the active 15-minute users counts.
R 5 Mail工作负载模拟活动用户阅读和发送邮件、安排约会、发送会议邀请等。
The R5Mail workload models an active user reading and sending mail, as well as scheduling an appointment, and sending meeting invitations.
基于指定参数，为非活动用户重置基础数据存储区中所有的每用户状态信息。
Resets all per-user state information in the underlying data store for inactive users, based on the specified parameters.
在旁注，我要感谢的东西是让我很高兴今年的：大约在本赛季期间的活动用户。
On a side note, I would like to thank users for something that is making me very happy this year: Activity around this season period.
您并没有通过更改此值添加了20%的用户，或者通过降低此值减少了活动用户数。
You did not just add 20 percent more users by changing this value (or reduce the number of active users by lowering this value).
下图显示了针对每一正在运行的主要Domino任务每15分钟活动用户cpu秒数的减少。
The following charts show the reduction in CPU seconds on a per active 15-minute user for each of the major Domino tasks that were running.
对于1500个Apple设备活动用户，处理器利用率为51%，内存占用为1.5GB。
For 1500 Apple devices active users, the processor utilization was about 51 percent and 1.5 GB memory usage.
为了准确地用动态工作负载度量生产服务器的性能，我们需要度量每 15 分钟活动用户的成本。
To accurately measure the performance in a production server with a dynamic workload, we need to measure the cost per active 15-minute user.
我们在查看生产数量时，发现有些客户报告每个Domino分区的并发活动用户超过2200个。
As we look at production Numbers, we have customers now reporting over 2200 concurrent active users per Domino partition.
在c点，我们可以看到每用户事务数的进一步稍微下降，这时注册用户(和15分钟活动用户)倍增。
At point c, we can see a further smaller drop per active user when the number of registered (and active-15 minute users) doubled.
例如，您可以添加一个查询，该查询列出指派给您的所有活动用户情景、问题或其他类型的工作项。
For example, you can add a query that lists all active User Stories, Issues, or other types of work items that are assigned to you.
已注册用户可以影响备份和轮询活动，而活动用户可以影响cpu利用率，已连接用户可以影响内存利用率。
Registered users can affect backup and polling activities, but your active users affect your CPU utilization, and your connected users affect memory utilization.
我们然后在服务器上启动500、800和1,000位用户的活动用户负载，评估端口加密是否会影响cpu利用率。
We then initiated active user loads of 500, 800, and 1,000 users on the server to assess whether or not port encryption affected CPU utilization.
在拥有1000个活动用户时的处理器使用率是15%，在拥有1500个活动用户时处理器使用率为23%。
The processor utilization at 1000 active users was 15 percent, and at 1500 active users the processor utilization was 23 percent.
在拥有1000个活动用户时的处理器使用率是21%，在拥有2000个活动用户时处理器使用率为48%。
The processor utilization at 1000 active users was 21 percent, and at 2000 active users, the processor utilization was 48 percent.
要完成这项任务，我们将取得在一个时间间隔中使用的总体CPU时间，然后用该时间间隔中15分钟活动用户总数除以它。
To do this, we will take the total CPU used in an interval and divide it by the total active 15-minutes users in that interval.
Web 2.0对用户参与的支持引发了另外一大挑战，因为应用程序要处理来自每个活动用户的更多数量的请求。
By enabling user participation, Web 2.0 poses another challenge because applications have a much greater number of server requests per active user. This is true for several reasons.
如果只考察12月份和3月份的总事务数，我们只是粗略地看到相同的统计数，哪怕是活动用户从12月到3月增长了将近两倍。
If we just looked at the total transaction counts from December and March, we see roughly the same counts, even though there are almost twice as many active users from December to March.
对于每个抽样周期，将LotusDomino服务器实例使用的处理器时间（秒）除以活动用户的数量，就得到这些数字。
This depiction is obtained by dividing the number of processor seconds used by the Lotus Domino server instance into the number of active users for each sample period.
对于每个抽样周期，将LotusDomino服务器实例使用的处理器时间（秒）除以活动用户的数量，就得到这些数字。
This depiction is obtained by dividing the number of processor seconds used by the Lotus Domino server instance into the number of active users for each sample period.
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