我正在尝试找出如何获取特定进程的CPU使用率,但只能找到与总体CPU使用率相关的信息。
是否有人知道如何提取特定应用程序的当前CPU使用率百分比?
性能计数器 - 进程 - % 处理器时间。
以下是一个简单的样例代码,帮助你理解:
using System;
using System.Diagnostics;
using System.Threading;
namespace StackOverflow
{
class Program
{
static void Main(string[] args)
{
PerformanceCounter myAppCpu =
new PerformanceCounter(
"Process", "% Processor Time", "OUTLOOK", true);
Console.WriteLine("Press the any key to stop...\n");
while (!Console.KeyAvailable)
{
double pct = myAppCpu.NextValue();
Console.WriteLine("OUTLOOK'S CPU % = " + pct);
Thread.Sleep(250);
}
}
}
}
根据进程ID查找实例的注意事项:
我不知道是否有更好的方法,希望有人能提供。如果没有,那么以下是一种您可以根据进程ID和进程名称找到正确实例名称的方法。
还有另一个性能计数器(PC)被称为“ID Process”
,位于“Process”
族中。它返回实例的PID。因此,如果您已经知道了名称(即“chrome”或“myapp”),则可以测试每个实例,直到找到与PID匹配的实例。
每个实例的命名都很简单:“myapp”、“myapp#1”、“myapp#2”等。
... new PerformanceCounter("Process", "ID Process", appName, true);
当PC值等于PID时,你找到了正确的appName
。然后,你可以在其他计数器中使用该appName
。
pct = pct / Environment.ProcessorCount
。否则,您可能会得到超过100%的值。 - Isak Savousing System;
using System.Diagnostics;
namespace cpuusage
{
class Program
{
private static DateTime lastTime;
private static TimeSpan lastTotalProcessorTime;
private static DateTime curTime;
private static TimeSpan curTotalProcessorTime;
static void Main(string[] args)
{
string processName = "OUTLOOK";
Console.WriteLine("Press the any key to stop...\n");
while (!Console.KeyAvailable)
{
Process[] pp = Process.GetProcessesByName(processName);
if (pp.Length == 0)
{
Console.WriteLine(processName + " does not exist");
}
else
{
Process p = pp[0];
if (lastTime == null || lastTime == new DateTime())
{
lastTime = DateTime.Now;
lastTotalProcessorTime = p.TotalProcessorTime;
}
else
{
curTime = DateTime.Now;
curTotalProcessorTime = p.TotalProcessorTime;
double CPUUsage = (curTotalProcessorTime.TotalMilliseconds - lastTotalProcessorTime.TotalMilliseconds) / curTime.Subtract(lastTime).TotalMilliseconds / Convert.ToDouble(Environment.ProcessorCount);
Console.WriteLine("{0} CPU: {1:0.0}%",processName,CPUUsage * 100);
lastTime = curTime;
lastTotalProcessorTime = curTotalProcessorTime;
}
}
Thread.Sleep(250);
}
}
}
}
您可以循环遍历进程以选择其中一个,或者如果您已经知道其ID,则可以使用此命令而不是GetProcessesByName()
Process p = Process.GetProcessById(123);
我从多个答案中整合了信息(尤其是这个),并编写出以下代码,可以基于Windows提供的性能计数器信息获取当前进程的CPU和RAM使用情况:
public object GetUsage()
{
// Getting information about current process
var process = Process.GetCurrentProcess();
// Preparing variable for application instance name
var name = string.Empty;
foreach (var instance in new PerformanceCounterCategory("Process").GetInstanceNames())
{
if (instance.StartsWith(process.ProcessName))
{
using (var processId = new PerformanceCounter("Process", "ID Process", instance, true))
{
if (process.Id == (int)processId.RawValue)
{
name = instance;
break;
}
}
}
}
var cpu = new PerformanceCounter("Process", "% Processor Time", name, true);
var ram = new PerformanceCounter("Process", "Private Bytes", name, true);
// Getting first initial values
cpu.NextValue();
ram.NextValue();
// Creating delay to get correct values of CPU usage during next query
Thread.Sleep(500);
dynamic result = new ExpandoObject();
// If system has multiple cores, that should be taken into account
result.CPU = Math.Round(cpu.NextValue() / Environment.ProcessorCount, 2);
// Returns number of MB consumed by application
result.RAM = Math.Round(ram.NextValue() / 1024 / 1024, 2);
return result;
}
没有任何黑客或猜测的情况下确定实例名称,我还要注意多核心。
检索到的信息与我在进程资源管理器和Visual Studio中看到的信息一致。
基于shytikov的答案,但是异步和可等待 - 使用Task.Delay而不是Thread.Sleep来避免阻塞线程。
private async Task<dynamic> GetUsageAsync()
{
var process = Process.GetCurrentProcess();
var name = string.Empty;
foreach (var instance in new PerformanceCounterCategory("Process").GetInstanceNames())
{
if (instance.StartsWith(process.ProcessName))
{
using var processId = new PerformanceCounter("Process", "ID Process", instance, true);
if (process.Id == (int)processId.RawValue)
{
name = instance;
break;
}
}
}
var cpu = new PerformanceCounter("Process", "% Processor Time", name, true);
var ram = new PerformanceCounter("Process", "Private Bytes", name, true);
cpu.NextValue();
ram.NextValue();
await Task.Delay(500);
dynamic result = new ExpandoObject();
result.CPU = Math.Round(cpu.NextValue() / Environment.ProcessorCount, 2);
result.RAM = Math.Round(ram.NextValue() / 1024 / 1024, 2); // MB
return result;
}
使用方法
dynamic result = await GetUsageAsync();
string stats = $"Memory Usage: {result.RAM} MB, CPU Usage: {result.CPU}%";
PerformanceCounter ProcessCPUCounter = new PerformanceCounter();
ProcessCPUCounter.CategoryName = "Process";
ProcessCPUCounter.CounterName = "% Processor Time";
ProcessCPUCounter.InstanceName = "TestServiceName";
ProcessCPUCounter.ReadOnly = true;
t3 = new Timer();
t3.Tick += new EventHandler(ProcessCPUThread); // Everytime t3 ticks, th2_Tick will be called
t3.Interval = (1000) * (1); // Timer will tick evert second
t3.Enabled = true; // Enable the t3
t3.Start();
private void ProcessCPUThread(object sender, EventArgs e)
{
try
{
Int32 processCPU = Convert.ToInt32( ProcessCPUCounter.NextValue());
tbCPUperPrcocess.Text = Convert.ToString(processCPU / Environment.ProcessorCount);
}
catch (Exception ex)
{
MessageBox.Show(ex.Message.ToString());
}
}