• So what happens when the data runs out?

    流量用完之后,会发生什么事情呢?

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  • Grid Execution tier, composed of technology from both Compute Grid and Data Grid, runs the batch jobs.

    网格执行层由来自计算网格和数据网格的技术组成,可以运行批处理作业。

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  • The tool also supports data gathering of test runs and creates reports from that data — this data provides feedback to the development team.

    该工具还支持测试运行的数据收集,并根据此数据创建报告——此数据向开发团队提供反馈。

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  • If the same data value occurs in a contiguous block, that block is replaced by a number that denotes the runs and the data.

    如果相同的数据值出现在一个连续的块中,该块将被替换为一个表示运行和数据的数字。

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  • When data that is not needed by your application is detached, your application runs with only the data that it requires and is more efficient.

    当应用程序不需要的数据被分离时,应用程序就会在仅携带所需数据的情况下运行,因而更有效。

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  • Summary data for each run or combined runs can be collected and charted.

    对每个运行或联合运行的总结数据可以收集起来并制成图表。

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  • The bold lines in the Listing 1 template will be replaced by actual data when the templating engine runs.

    当模板引擎运行时,清单1中彩色显示的部分将被实际的数据替换。

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  • The first set of test runs is strictly for gathering data at a variety of configuration points and load levels.

    第一组测试运行应严格被用于在各种配置点和负载级别上收集数据。

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  • The server runs the script, changing the data bound to the field to uppercase.

    服务器运行脚本,将绑定到字段的数据更改为大写。

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  • An integration project with the goal of generalizing control of the data often runs into border disputes between interests.

    目标为实现数据控制权共有化的集成项目经常会出现利益方面的边界争议。

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  • Now the data set will be populated when the report runs, but the raw data will not appear directly on the report.

    当报告运行时,数据集合将会得到实现,但是原始的数据将会直接出现在报告上。

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  • When the JSP page runs, the tags execute database requests, and the data is displayed in HTML.

    当JSP页面运行时,标签执行数据库的请求,并且数据被显示在HTML中。

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  • Figures 1 through 6 illustrate how the data binding frameworks perform in extended test runs that are representative of server environments.

    图1到6说明了数据绑定框架在扩展的测试运行(代表了服务器环境)中执行结果如何。

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  • Applications that have a lot of long-lived data that changes slowly as the program runs might fit this model.

    这种模式适用的应用程序的特点是:拥有大量长期存活的数据,这些数据随着程序运行缓慢更改。

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  • In addition, the location of the data and the platform on which the business logic runs influences how XTP technologies are adopted in the data center.

    此外,数据以及业务逻辑所运行的平台的位置将影响如何在数据中心中采用XTP技术。

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  • Then a probe runs and records all relevant data it finds (if any) into a report that is placed in the ERC.

    随后,探测运行并记录在ERC的报告中找到的所有相关数据。

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  • When a probe runs, it records all relevant data it finds (if any) in a report that is placed in the ERC.

    当探测运行时,它记录在ERC的报告中找到的所有相关数据。

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  • The data is shown in tabular and (for aggregate runs and snapshots) graphical formats.

    该数据以表格(对于聚集运行和快照)和图形格式显示。

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  • Furthermore, your data center runs ERP, CRM, HR, transactional, and web applications — to name a few.

    但你的数据中心中运行的是ERP、CRM、HR、交易和网络应用。

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  • You can compare PMC data from two counter data collection runs.

    可以比较两次计数器数据收集过程产生的PMC 数据。

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  • Now you can select which files (using wildcards) will be collected by the Automatic Data Collection tool when it runs on clients or servers.

    现在您可以选择,AutomaticDataCollection工具在客户机或服务器上运行时,将会收集哪些文件(使用通配符)。

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  • Data capture runs on OSGi to support the distributed run time environment.

    数据捕获在OSGi上运行,以支持分布式运行时环境。

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  • Xargs reads data from a pipe and runs a specified command for every line read.

    xargs命令可从管道中读取数据并为每行读取内容运行指定命令。

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  • In this scenario, the WebSphere Sensor Events data capture component runs on the home health gateway.

    在这个场景中,WebSphereSensorEvents数据捕捉组件运行在家庭健康网关之上。

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  • An instance of the cnee program runs in the background to record mouse data precisely.

    cnee程序的实例将在后台运行以精确记录鼠标数据。

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  • It runs the specified task (wordcount) and the argument data.

    它运行指定的任务(wordcount)和参数数据。

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  • New Relic does not offer the choice to run the service on-premise, it runs only on their data center.

    NewRelic不提供在本地运行服务的方案,服务只运行在他们的数据中心上。

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  • These ThinkPads are equipped with a customized data collection application which runs on DB2 Personal.

    这些ThinkPad笔记本配备了运行在DB 2 Personal之上的定制数据收集应用程序。

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  • Since the Data Capture and Delivery component typically runs in a distributed platform and has limited resources for processing and storing data, the data must be forwarded to a server platform.

    因为DataCapture andDelivery组件通常运行在用于储存和处理数据的资源比较有限的分布式平台中,所以必须将数据转发到服务器平台中。

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  • Since the Data Capture and Delivery component typically runs in a distributed platform and has limited resources for processing and storing data, the data must be forwarded to a server platform.

    因为DataCapture andDelivery组件通常运行在用于储存和处理数据的资源比较有限的分布式平台中,所以必须将数据转发到服务器平台中。

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