因为基准测试是一个任务，显然不应该同时运行其他程序(除非测试目的是检查您的任务在有负载机器上的表现如何)。
While benchmarking a task, you obviously should run no other programs (unless seeing how your task behaves on a loaded machine is the goal).
在基准测试环境中，您可以控制安装，正确地设置哪些程序运行在服务器上，从基准测试客户端以某个特定的比率。
In a benchmark environment, you have control over the setup, and you establish exactly what is running on your server, at what specific rates, from your benchmark clients.
存在各种各样的基准，什么样的工作量可以被支持，什么样的服务器可以运行在什么样的平台上，这里面有很强的应用程序依赖性。
While various benchmarks exist for what workload can be supported by what servers on which platforms, overall this area is highly application-dependent.
我们发现这是一个比较乐观的基准，我们可以根据WebSpherePortal上运行的应用程序的控制指数来改变这个值。
We found this to be an optimistic benchmark that can vary depending on the characteristics of the application running on WebSphere Portal.
在这个例子中，运行于集群中的高性能应用程序是Linpack基准套件。
In this example, the Linpack benchmark suite will be the high performance application that runs in the cluster.
本文根据由运行oltp类型的性能基准测试程序(TPC - C、TPC - W、Trade2等)所得到的经验，着重讨论了许多DB 2性能调优技巧。
This article focuses on a number of DB2 performance tuning tips based on lessons learned from running OLTP-type performance benchmarks (TPC-C, TPC-W, Trade2, etc.).
好了，到现在为止，我已经创建了一个相当精确的基准测试函数，这个函数可以用来计算各个不同部分的代码甚至是整个应用程序的运行时间。
Okay, at this point, I created a fairly precise benchmarking function that can be used for timing different portions of code, or even complete applications.
好了，到现在为止，我已经创建了一个相当精确的基准测试函数，这个函数可以用来计算各个不同部分的代码甚至是整个应用程序的运行时间。
Okay, at this point, I created a fairly precise benchmarking function that can be used for timing different portions of code, or even complete applications.
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