CPU utilization of the application and Web servers.
应用程序服务器和Web服务器的CPU的利用率。
We first measured the CPU utilization for 100 users.
我们首先测量在用户数为100时cpu的利用率。
The percentage of CPU utilization against the maximum capacity
CPU利用率占最大容量的百分比
These two parameters are the most relative ones to CPU utilization.
这两个参数与CPU利用率最相关。
The CPU utilization for AME activity in units of physical processors.
AME活动的cpu利用率，以物理处理器为单位。
Sometimes its CPU utilization totals to 150%, mostly on cores 0 and 2.
有时它的总cpu利用率可达到150%，主要是核心0和2的cpu利用率。
The CPU utilization Numbers are as reported by Domino platform statistics.
CPU使用率是通过Domino平台统计数据报告的。
These CPU utilization improvements were measured using the R6Mail workload.
这些CPU利用率方面的改进都是使用r 6 Mail任务负载得出的。
A partition's CPU utilization in the units of number of physical processors.
一个分区的cpu利用率，以物理处理器的数量为单位。
Throughput flattens out as CPU utilization approaches 100 percent, as expected.
正如预期的，随着CPU利用率接近100%，吞吐量曲线逐渐变平。
Consider these graphs of CPU utilization vs. time for all three scenarios.
考虑这三种场景下cpu占用率和时间图。
CPU utilization is 200% on the sending side and just 50% on the receiving side.
发送端的CPU利用率为200%，而接收端的CPU利用率仅为50%。
This overview displays server-level CPU utilization for all UPMC Power systems.
这个概况视图显示所有UPMC Power 系统的服务器级CPU利用率。
The goal of a server is for it to drive to the highest CPU utilization possible.
服务器的目的在于使它达到可能的最高的cpu利用率。
The router task CPU utilization remains unchanged between Domino 6.5 and Domino 7.
router任务的CPU利用率在Domino 6.5和Domino 7之间保持不变。
The CPU utilization scaling values range from 2.599 to 1.884 with an average of 2.386.
CPU利用率变化范围从2.599到1.884，平均值是2.386。
Once CPU utilization has reached saturation, increased load only increases response time.
一旦对CPU的利用达到饱和，增加的负载只会增加响应时间。
This results in a reduction in user CPU utilization, which translates into throughput gains.
这会导致用户CPU利用减少，转化为吞吐量上的提升。
A good starting point with Collection Services data is the CPU utilization and waits overview.
使用CollectionServices数据的一个好起点是CPU利用率和等待概览图。
Look for excessive CPU utilization and memory paging or swapping — these are performance killers.
注意过高的CPU利用率和内存分页或交换——这些都是性能杀手。
CPU Sampling: analyzes CPU utilization with little impact on the running application's performance.
CPU采样：分析CPU利用率，这对于运行中的应用程序性能仅有很小影响。
The administrators are looking for a trend of sharp increases in CPU utilization on one or more LPARs.
管理员会检查一个或多个LPAR上是否出现了CPU利用率快速增加的趋势。
As a measure of CPU utilization, the load average is simplistic, poorly defined, but far from useless.
在被当作CPU利用率的衡量标准时，虽然平均负载数是简单的和缺乏定义的，但远不是无用的。
For these tests, we only used three of the six CPUs to drive the load with higher CPU utilization.
对于这些测试，仅使用六个CPU中的三个以便在较高的CPU占用下驱动负载。
This chart shows the CPU utilization of the partition along with the wait information for the collection.
这个图显示分区的cpu利用率，以及集合的等待信息。
As previously mentioned, some status data such as fan speeds and CPU utilization is specific to the device.
如前所述，有些状态数据如风扇速度、CPU使用都是与设备相关的。
Peak CPU utilization was in the greater than 90-second range for initial user connections to the server.
峰值CPU 利用率持续时间均超过了 90秒（从用户最初建立到服务器的连接开始）。
In fact, there is no direct correlation between the transaction counts on your DPARs and your CPU utilization.
事实上，DPAR和CPU利用率上的事务处理计数之间没有直接的关联。
It has made great strides in maximizing CPU utilization while providing a responsive experience for the user.
它极大地改善了最大化利用CPU的能力，同时还为用户提供了很好的响应体验。
This behavior degraded networking throughput, CPU utilization, and overall networking performance and scalability.
这种行为会损害网络吞吐量、CPU利用率以及总体网络性能和可伸缩性。
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