这些图只显示平均执行时间的估值点。
Only the point estimates for the mean execution times are shown.
你应该能够看到平均执行时间和每秒事务数。
You should be able to see the mean execution time and transactions per second graphs by hitting this servlet.
例如，假设任务a的平均执行时间是1毫秒，任务B的平均执行时间是1.1毫秒。
For example, suppose that the mean of task a's execution time is 1 millisecond and task B's mean is 1.1 milliseconds.
对程序中的某些类和方法，我需要了解它们被调用次数，各自平均执行时间和整体平均时间
For certain classes and methods in my application I want to see the invocation counts, the average self execution time and the average wall clock time.
平均执行时间和每秒事务处理量的图表以指向GoogleChartServer的URL的形式生成。
Graphs for average execution time and transactions per second are generated as URLs to the Google Chart server.
执行时间的平均估值点是102.570毫秒。
A point estimate for the mean of the execution time is 102.570 milliseconds.
如果您熟悉ShowTrans输出，就可以判断出某一特性领域花费的时间是否过长，或者某一事务的执行时间是否明显长于平均时间。
If you become familiar with Show trans output, you can determine if excessive time is spent in a general feature area or if a specific transaction is taking a longer than average time to execute.
然而一方面，我们可能可以把这个数据与设备排队尺寸以及平均请求执行时间结合起来以得到一些合适的数值。
One however probably can combine this data with device queue sizes and average request execution time to get some decent values.
实验结果表明，该策略能够显著提高程序性能，平均提高一倍，甚至更高，同时它能够预知优化后程序执行时间的变化，最高误差为2%。
Experimental results show that the scheme has ability to improve significant performance significantly, and predict the application's execution time after optimization with a maximum error of 2%.
实验结果表明，该策略能够显著提高程序性能，平均提高一倍，甚至更高，同时它能够预知优化后程序执行时间的变化，最高误差为2%。
Experimental results show that the scheme has ability to improve significant performance significantly, and predict the application's execution time after optimization with a maximum error of 2%.
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