这个例子使用响应时间崩溃选项(它是在测试调度下面被选中的)，在测试运行时收集被捕获的页面元素的统计数字。
This example USES the response time breakdown option, which is selected under the schedule, to collect statistics on a captured page element when the test runs.
在进行了合适的响应时间分解配置之后，您必须执行测试或者调度以在负载测试期间初始化应用程序监控。
After making the appropriate response time breakdown configuration, you must execute the test or schedule to initiate application monitoring during the load test.
响应时间分解视图与特定的测试或者调度执行的页面单元（URL）关联。
The Response Time Breakdown view is associated with a page element (URL) from a particular execution of a test or schedule.
为了捕获响应时间分解数据，您必须在一个测试或者调度中启动它，然后配置将要捕获的数据的信息。
To capture response time breakdown data, you must enable it in a test or schedule, and configure the amount of data to be captured.
要获取响应时间细分数据，您必须在一个测试或者调度中启用响应时间细分，并且设置数据的被俘获数量。
To capture response time breakdown data, you must enable response time breakdown in a test or schedule, and configure the amount of data to be captured.
如果测试或者调度配置了响应时间分解，使用命令行执行，则响应时间分解的数据不会被收集。
If a test or schedule is configured for response time breakdown, and then executed by using the command line, response time breakdown data will not be collected.
反之依然，在性能调度中激活响应时间分解也不会影响性能测试中的响应时间分解配置。
The reverse is true, too: Enabling response time breakdown in a performance schedule will not affect the response time breakdown configuration in a performance test.
在性能测试中激活响应时间分解不会影响任何性能调度中的响应时间分解。
Enabling response time breakdown in a performance test will not affect the response time breakdown in any performance schedule that is referencing that test.
调度器还需要面对一些互相冲突的目标，例如既要为关键实时任务最小化响应时间，又要最大限度地提高CPU 的总体利用率。
The scheduler can also be faced with such conflicting goals as minimizing response times for critical real-time tasks while maximizing overall CPU utilization.
您可以在Test视图中查看响应时间分解数据，或者如果执行了性能测试或性能调度的话，您可以在Profilingand Logging视图中查看。
You can view response time breakdown data in the test perspective or in the Profiling and Logging perspective if a performance test or performance schedule is executed with response time breakdown.
分析了调度算法任务下的调度性，给出了求任务RMS响应时间的算法。
The paper also analyzes the task schedulability when RMS scheduling algorithm is adopted, and an algorithm for acquiring response time of task is given.
作业调度是体现公平对待用户作业，提高系统响应时间，进而提高系统性能的关键因素。
Job scheduling is one of the most factors to run users' jobs, which belong to difficult users fairly, reduce the response time of cluster, and improve the performance of cluster.
本文的目的是通过预测实时任务端到端响应时间为系统设计提供指导、为系统调度提供依据、为任务执行提供保障。
The purpose of the paper provides the guide for system design, the basis for system scheduling and the guarantee for task execution by predicting end-to-end response time of real-time tasks.
最后，发现动态作业调度策略减少了系统对外部作业的响应时间并提高了计算资源的利用率。
Finally, we find that dynamic schemes minimize the system's response time and improve the utilization of computing resources.
基于抢占阈值调度的任务响应时间分析方法是一种新型实时系统任务可调度性判定技术。
The response time analysis method for scheduling tasks with preemption threshold is a novel schedulability technology .
基于抢占阈值调度的任务响应时间分析方法是一种新型实时系统任务可调度性判定技术。
The response time analysis method for scheduling tasks with preemption threshold is a novel schedulability technology .
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