问题描述
我有一个服务流程，我想使用性能计数器来发布完成任务所需的平均时间.我正在使用AverageTimer32计数器执行此操作.
I have a service process, and I want to use performance counters to publish the average time that it takes to complete tasks. I am using the AverageTimer32 counter to do this.
它几乎可以按照我想要的方式工作，但不完全是:当我增加计数器时，它会短暂地上升到我期望的值(在Performance Monitor中监视)，但是随后又下降到零.
It's almost working the way I want, but not quite: When I increment the counter, it will briefly bump up to the value that I expect (watching in Performance Monitor), but then it drops right back down to zero.
因此，计数器为零，我运行了一个任务，任务完成了，计数器短暂上升(达到正确的值)，但随后几乎立即降为零.
So, the counter is zero, I run a task, the task completes, the counter briefly bumps up (to the correct value), but then it almost immediately falls back to zero.
我正在使用AverageTimer32计数器，并以AverageBase作为分母.每次启动任务时，我将AverageBase增加1，然后将完成任务时要完成的滴答数增加AverageTimer32.有人可以给我推吗?
I am using the AverageTimer32 counter with an AverageBase as the denominator. I increment the AverageBase by 1 every time I start a task, and then I increment the AverageTimer32 by the number of ticks to complete every time I finish the task. Can anyone give me a push?
推荐答案
事实证明，我无法做到自己想要的原因是，没有任何性能计数器类型提供自动计算均线的功能.(平均值"计数器根据该时刻计算平均值，例如每秒字节数".)
It turns out that the reason that I could not do what I wanted was that none of the performance counter types provide for automatically calculating a running average. (the "average" counters, calculate an average based upon that moment in time, like "bytes per second").
我想要一个运行平均值.因此，我使用了RawFraction性能计数器类型.
I wanted a running average. So, I used the RawFraction performance counter type.
该方法存在一个问题:该公式将结果除以100以产生一个百分比，而我想要一个原始数字(每秒完成的平均操作数).
There was one problem with that method: The formula divides the result by 100 to produce a percentage, and I wanted a raw number (average operations completed per second).
因此，我每执行1次操作就将分数的分母增加100(抵消百分比计算).
So, I incremented the denominator of the fraction by 100 for every 1 operation (offsetting the percentage calculation).
我的结果:现在，我可以显示我的服务平均完成一项任务所花费的时间.如果我的服务不忙，则平均值将保持不变，这样您就可以看到我的服务性能的长期趋势.
My result: I can now display how long it takes, on average, for my service to complete a task. If my service isn't busy, the average remains constant so that you can see the long-term trend of my service's performance.
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