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  • You can do this work by checking the average response time of all the commands in our test report.

    您可以通过检查我们的测试报告中的所有命令的平均响应时间,来完成这一工作。

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  • Acceptable backend resource response time.

    可接受的后端资源响应时间。

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  • Comparing single-user CM API response time.

    比较单用户CMAPI响应时间。

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  • Response time breakdowns and resource monitoring data.

    响应时间细分和资源监测数据。

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  • The user receives faster response time for an HTTP request.

    用户HTTP请求的响应时间也会加快。

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  • This graph shows an average response time of 573 milliseconds.

    这个图显示平均响应时间为573毫秒。

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  • Maximum response time shows the longest completed transaction time.

    最长响应时间显示完成事务的最长时间。

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  • How do you measure response time and resource utilization of a SQL query?

    如何测量SQL查询的响应时间和资源利用率呢?

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  • GAE provides excellent scalability as measured by a consistent response time.

    GAE提供出色的可伸缩性就像通过一致响应时间所衡量的那样。

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  • The difference in response time will vary depending on the factors listed above.

    响应时间的差异将根据上面列出的各个元素的不同而有所变化。

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  • In Figure 10, as the number of users increases, the average response time increases.

    在图10中,随着用户数量的增长,平均的响应时间也在增长。

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  • What's important to remember is that input lag isn't the same thing as response time.

    有个重要的事要记住,那就是输入延迟和反应时间不是一码事儿。

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  • In this test case, we accessed processor load and response time for various user loads.

    在这个测试案例中,我们评估各种用户负载下的处理器负载和响应时间。

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  • In our third evaluation, we looked at the probe response time for each of the workloads.

    在第三个评估场景中,我们将评估不同工作负载下的探针响应时间。

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  • The tree layout (Figure 16) helps you identify which tier has the slowest response time.

    树型布局(见图16)有助于您识别响应事件最慢的排列。

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  • This can significantly reduce the processing and response time in running SQL statements.

    这样可以显著地减少运行sql语句的处理和响应时间。

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  • 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。

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  • It is also useful in smaller applications to provide improved throughput and response time.

    对于较小的应用程序也很有用,它能提高吞吐量和响应时间。

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  • Maximum performance is not required unless you need submillisecond response time on queries.

    最优性能并不需要,除非您需要查询的亚微秒级响应时间。

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  • Performance issues arose through slower response time due to marshaling and passing the data.

    由于数据的编组和传递,降低了响应时间,导致了性能问题。

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  • Less statistical fluctuation in response time produces a more consistent end user experience.

    响应时间上较少的统计波动将产生更稳定的终端用户体验。

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  • This reduction in communications overhead will decrease response time and increase throughput.

    这减少了通信开销,从而减少了响应时间并提高了吞吐量。

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  • The result is a significant decrease in response time and reduction of application processing.

    此结果会显著降低响应时间并减少应用程序处理。

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  • Lazy sweeping improves the response time of the garbage collector and increases its throughput.

    懒惰式扫描缩短了垃圾回收器的响应时间,同时还增加了吞吐量。

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  • You can also see how the variations in system configurations affect the end user's response time.

    您还可以了解到系统配置中的变动如何影响最终用户的响应时间。

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  • Overall average response time per transaction shows the average times for completed transactions.

    每个事务的总平均响应时间显示了完成事务的平均时间。

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  • The response time of the service provider decreases as the size or frequency of requests increase.

    服务提供者的响应时间会随着请求的大小和频率的增加而延长。

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$firstVoiceSent
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