我有一个方法Limit(),它通过使用Thread.Sleep()来计算在特定时间和限制内通过某个通道传递的带宽(如果达到带宽限制)。 方法本身产生正确的(在我看来结果)但Thread.Sleep没有(由于多线程的CPU使用),因为我有适当的“millisecondsToWait”,但之后的速度检查远远不是我已经通过的限制。
有没有办法让限制更精确?
Limiter Class
private readonly int m_maxSpeedInKbps;
public Limiter(int maxSpeedInKbps)
{
m_maxSpeedInKbps = maxSpeedInKbps;
}
public int Limit(DateTime startOfCycleDateTime, long writtenInBytes)
{
if (m_maxSpeedInKbps > 0)
{
double totalMilliseconds = DateTime.Now.Subtract(startOfCycleDateTime).TotalMilliseconds;
int currentSpeedInKbps = (int)((writtenInBytes / totalMilliseconds));
if (currentSpeedInKbps - m_maxSpeedInKbps > 0)
{
double delta = (double)currentSpeedInKbps / m_maxSpeedInKbps;
int millisecondsToWait = (int)((totalMilliseconds * delta) - totalMilliseconds);
if (millisecondsToWait > 0)
{
Thread.Sleep(millisecondsToWait);
return millisecondsToWait;
}
}
}
return 0;
}
总是在大delta中失败的测试类
[TestMethod]
public void ATest()
{
List<File> files = new List<File>();
for (int i = 0; i < 1; i++)
{
files.Add(new File(i + 1, 100));
}
const int maxSpeedInKbps = 1024; // 1MBps
Limiter limiter = new Limiter(maxSpeedInKbps);
DateTime startDateTime = DateTime.Now;
Parallel.ForEach(files, new ParallelOptions {MaxDegreeOfParallelism = 5}, file =>
{
DateTime currentFileStartTime = DateTime.Now;
Thread.Sleep(5);
limiter.Limit(currentFileStartTime, file.Blocks * Block.Size);
});
long roundOfWriteInKB = (files.Sum(i => i.Blocks.Count) * Block.Size) / 1024;
int currentSpeedInKbps = (int) (roundOfWriteInKB/DateTime.Now.Subtract(startDateTime).TotalMilliseconds*1000);
Assert.AreEqual(maxSpeedInKbps, currentSpeedInKbps, string.Format("maxSpeedInKbps {0} currentSpeedInKbps {1}", maxSpeedInKbps, currentSpeedInKbps));
}
答案 0 :(得分:3)
我经常使用Thread.Sleep
,直到我发现waithandles。使用等待句柄可以暂停线程,当从其他地方触发waithandle时,或者当达到时间阈值时,线程将再次生效。也许有可能重新设计你的限制方法以某种方式使用等待句柄,因为在很多情况下它们确实比Thread.Sleep
更精确?
答案 1 :(得分:1)
你可以使用繁忙的等待相当准确地做到这一点,但我不推荐它。您应该使用one of the multimedia timers代替。
然而,这种方法会相当准确地等待:
void accurateWait(int millisecs)
{
var sw = Stopwatch.StartNew();
if (millisecs >= 100)
Thread.Sleep(millisecs - 50);
while (sw.ElapsedMilliseconds < millisecs)
;
}
但它是忙等待并且会非常消耗CPU周期。此外,它可能会受到垃圾收集或任务重新安排的影响。
这是测试程序:
using System;
using System.Diagnostics;
using System.Collections.Generic;
using System.Threading;
namespace Demo
{
class Program
{
void run()
{
for (int i = 1; i < 10; ++i)
test(i);
for (int i = 10; i < 100; i += 5)
test(i);
for (int i = 100; i < 200; i += 10)
test(i);
for (int i = 200; i < 500; i += 20)
test(i);
}
void test(int millisecs)
{
var sw = Stopwatch.StartNew();
accurateWait(millisecs);
Console.WriteLine("Requested wait = " + millisecs + ", actual wait = " + sw.ElapsedMilliseconds);
}
void accurateWait(int millisecs)
{
var sw = Stopwatch.StartNew();
if (millisecs >= 100)
Thread.Sleep(millisecs - 50);
while (sw.ElapsedMilliseconds < millisecs)
;
}
static void Main()
{
new Program().run();
}
}
}