• Performance results of our experiments.

    我们的试验的性能结果。

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  • Now let's discuss the measured performance results.

    现在我们讨论测量得出的性能结果。

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  • The relative performance results are shown in Figure 13.

    图13中显示了相关的性能结果。

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  • Comparing 6.5.3 with 6.5.3 plus hotfix performance results.

    比较6.5.3和6.5.3以及hotfix的性能结果。

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  • The performance results we describe were collected on two sets of systems.

    我们所描述的性能结果是从两组系统上收集的。

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  • This section presents the performance results for three different algorithms.

    本节将给出3种不同算法的性能结果。

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  • The graphs in Figure 3 illustrate our performance results from running on various nodes.

    图3中的关系图说明了我们在各个节点上运行的性能结果。

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  • The db2batch tool summarizes the performance results in an arithmetic and geometric format.

    db 2 batch工具以算术和几何图形的格式对性能进行了概括。

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  • For best performance results it is best not to cache distributed maps in eXtreme Scale.

    想要达到最佳性能,最好不要在eXtremeScale中缓存分布式映射。

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  • A page describing the some stress tests applied to the server and performance results was published here.

    在这里发布了一个页面,其中描述了在服务器上应用的压力测试和性能结果。

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  • The article concludes with a high-level summary of key performance results based on internal case studies.

    本文最后将基于一些内部案例研究简要总结关键性能结果。

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  • In Part 2 I'll show the performance results from testing these data binding frameworks on some sample documents.

    在第2部分中,我将展示这些数据绑定框架的性能结果,这些性能是在一些样本文档上使用这些框架测试出的。

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  • This article provides the how-to knowledge of tuning WebSphere DataPower to reach the desired performance results.

    本文介绍了如何调优WebSphereDataPower以实现理想的性能结果。

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  • This can cause sporadic performance results depending directly upon the network utilization at the time of the tests.

    这可能造成时有时无的性能结果,这与测试时网络的利用率直接有关。

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  • As seen in the results below, the single-guest configuration provided the best performance results at each data point.

    从上面的结果可以看到,单客户机配置在每一个数据点上实现了最佳的性能结果。

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  • These small benchmarks also illustrate the challenge of interpreting performance results in the presence of dynamic compilers.

    这些小基准测试也阐明了存在动态编译器的情况下解释性能结果所面临的挑战。

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  • The average age of all graduated founders is 34.4 years old, and the performance results of graduates speak for themselves

    毕业后创业者的平均年龄在 34.4岁,到底他们的业绩如何?

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  • Along the way to the performance results, you'll also see the details of configuring WS-SecureConversation on the three stacks.

    并且在获得此性能成果的过程中,您还将看到在这三个堆栈上配置WS -SecureConversation的细节。

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  • You can save the performance data set for each execution and compare performance results between executions of your application.

    您可以保存您的应用程序的每次执行的性能数据集,并比较各次执行的性能结果。

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  • This means that when you use kernel-mode caching with IIS and ASP.NET output caching, you'll see unbelievable performance results.

    这就表示,当您将内核模式缓存与IIS和ASP.NET输出缓存一起使用时,就会看到令人不敢相信的性能结果。

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  • They produce excellent performance results and efficient resource pooling, and are an important worker component of the EJB family.

    它们产生性能极佳的结果和有效的资源合用,并且是EJB系列的一个重要工作程序组件。

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  • This section takes a look at some of the performance results achieved on POWER7 hardware at the WebSphere Commerce performance lab.

    这一节将介绍在WebSphereCommerce性能实验室中,POWER 7硬件上实现的一些性能结果。

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  • The PerformanceLogger class allows for specifying at runtime whether or not the tester is interested in logging performance results.

    PerformanceLogger类支持在运行时指定,而不管测试员是否对记录性能结果感兴趣。

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  • Performance results and the overhead in other operating environments with actual input data may be different than these test results.

    带有实际输入数据的其他操作环境中的性能结果和开销可能与这些测试结果不同。

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  • Surprisingly, one of the best performance results came from having the transaction logs held in RAM (see the yellow line in figure 5).

    奇怪的是,性能最好的结果来自于在RAM中使用事务记录(见图5中的黄线)。

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  • XFire is another SOAP engine, which allows a choice of data binding frameworks to be used; XFire also claims excellent performance results.

    XFire是另一个SOAP引擎,该引擎允许选择使用数据绑定框架;xfire也具有出色的性能结果。

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  • There are differences of opinions obviously, but I recommend you look at processor cores when comparing performance results across solutions.

    建议在比较解决方案的性能结果时查看处理器核心。

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  • Matching the time scale in the report with that of the server helps correlate performance results with server events and aids troubleshooting.

    将报告的时间与服务器的时间匹配起来,可以帮助您将性能结果与服务器事件联系起来,并排除故障。

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  • Figure 3 shows the number of transactions completed with one buffer pool of 250 4k pages: (Note: Performance results may differ on your system.)

    图3显示了用一个包含250个4K页面的缓冲池所完成的事务数目:(注意:您系统上的性能结果可能不同。)

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  • Text explaining any measured or observed anomalies should be provided, especially when performance results either dramatically improve or degrade.

    您应该提供说明任何测量到的或观察到的异常的文本,当性能结果显著提高或下降时,您更应该这样做。

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