图5展示Apple设备的处理器资源使用率。
Figure 5 shows the processor resource utilization for Apple devices.
另外，从源系统接收到的数据量和需要通过联合服务器的数据量也影响资源使用率。
Also, the amount of data that is received from the source systems and needs to go through the federation server impacts the resource utilization.
例如，如果您只选择资源选项，关于资源使用率的缩略窗口就会出现在屏幕上。
For example, if you choose only the resource option, a thumbnail window on resource usage appears on the screen.
这将对源系统的资源使用率造成负面影响，因为需要对来自联合服务器的子操作做出响应。
This impacts the resource utilization at the source systems negatively in that they need to respond to the sub-operations from the federation server.
如果您使用动态应用程序迁移的目的是进行能量管理，并且将其用作服务器整合工具，那么资源使用率就不是很重要了。
If your goal for using Live Application Mobility is energy management and using it as a server consolidation tool, then resource utilization is not as important.
可度量的服务：资源/服务的使用率随时进行测算，支持资源使用率优化、使用率用户报告以及用多少收多少的商业模式。
Measured service. Resource/service usage is constantly metered, supporting optimization of resource usage, usage reporting to the customer, and pay-as-you-go business models.
例如，我们的一个客户迁移到R5并反映系统资源(CPU和内存)的使用率降低了。
For example, one of our customers migrated to R5 and reported a reduction in system resources (CPU, memory) utilization.
可用硬件资源的有效使用率在系统性能中起到了重要的作用。
Effective utilization of the hardware resources available play a key role in performance of a system.
你不需要去考虑硬件，更好的系统资源反应和带宽使用率，正确的为你的使用提供服务。
You won’t need to think of the hardware, better react to the system resources & bandwidth usage fluctuations, pay exactly for what you use & much more.
最大化内存使用率对于任何计算资源来说都是获得最优性能的一个最重要的方面，更不用说数据库了。
Maximizing memory usage is one of the most important aspects in achieving optimal performance for any computing resource, let alone databases.
当然，压缩应该会增加Web服务器上的CPU资源消耗；但是实验室测试表明，这个影响很小，差不多只增加 2%~3% 的 CPU 使用率。
It was expected that compression should consume more CPU resources on the Web server, but the lab tests indicated the impact to be minimal with a 2 to 3 percent increase in CPU usage.
处理器使用率资源——PUR寄存器。
WS 8同时提供资源计量，包括静态计量——虚拟CPU数量或分配的磁盘空间——和动态计量，如CPU使用率或网络带宽使用率。
WS8 also provides resource metering, informing both on static measures -virtual CPUs or disk space allocated -, and on dynamic ones, such as CPU consumption or network bandwidth used.
在CPU使用率达到百分之百时，可能会出现挂起；或锁定了多个进程并且它们不释放任何资源，这时可能出现死锁。
You might get a hang where the CPU is being used 100 percent of the time, or you might get deadlocks where a couple of threads are locked and never release a resource.
提出了一种运用得到的规则进行检测的机制，可以提高系统检测的速度，降低系统资源的使用率。
An intrusion detection mechanism adapted to the current circumstances, which can enhance the intrusion detection speed and lower the system resources usage.
一个随机变化的规模，资源及对工程的影响时间之长，排队的长度和百分比的使用率是非常可取的和值得重视的，由研究员。
A random variation of size of resources and its effect on project duration, queue length and percentage utilization is highly desirable and deserves attention from the researchers.
这个机制可提升运算资源最大使用率。
This mechanism promotes maximum usage of computing resources.
工作排程器是合作式的，并会使用工作窃取演算法达成处理资源最大使用率。
The Task Scheduler is cooperative and USES a work-stealing algorithm to achieve maximum usage of processing resources.
与中文电子资源相比，外文电子资源的采购费用较高，可使用率却较低。
But compared with Chinese electronic resources, the utilization ratio of foreign resources is quite low.
为此引鉴信息过滤的全新理念和按点击率对网络资源进行排序的方法，提出对检索结果按用户使用率进行后续处理的新思路。
According to the concept of information filtering, and by the method using click rate to rank Internet information, the article proposes to process searching results using utilization ratio.
我们有时会显示以下类似内容的人收到的问题：“我们有1.”8万个文件，我们发现我们浏览到该文件夹时，将资源管理器的CPU使用率将为50%。
Sometimes we get questions from people who say something like: "we have 1.8 million files and we're finding that Explorer's CPU usage goes to 50 percent when we browse into that folder."
分析了大型仪器设备使用率不高的原因，提出了高校大型仪器设备实现资源共享，提高大型仪器设备使用效益的措施。
This articles puts forward the model of setting large-scale equipment platform and proposes several key issues to promote large-scale equipment sharing platform.
分析了大型仪器设备使用率不高的原因，提出了高校大型仪器设备实现资源共享，提高大型仪器设备使用效益的措施。
This articles puts forward the model of setting large-scale equipment platform and proposes several key issues to promote large-scale equipment sharing platform.
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