我发现此代码可以获得整体cpu使用率.这是否可以将其转换为通过进程告诉cpu使用情况?是否有任何API可以让我们获得android的cpu或内存使用?
private float readUsage() {
try {
RandomAccessFile reader = new RandomAccessFile("/proc/stat","r");
String load = reader.readLine();
String[] toks = load.split(" ");
long idle1 = Long.parseLong(toks[5]);
long cpu1 = Long.parseLong(toks[2]) + Long.parseLong(toks[3]) + Long.parseLong(toks[4])
+ Long.parseLong(toks[6]) + Long.parseLong(toks[7]) + Long.parseLong(toks[8]);
try {
Thread.sleep(360);
} catch (Exception e) {}
reader.seek(0);
load = reader.readLine();
reader.close();
toks = load.split(" ");
long idle2 = Long.parseLong(toks[5]);
long cpu2 = Long.parseLong(toks[2]) + Long.parseLong(toks[3]) + Long.parseLong(toks[4])
+ Long.parseLong(toks[6]) + Long.parseLong(toks[7]) + Long.parseLong(toks[8]);
return (float)(cpu2 - cpu1) / ((cpu2 + idle2) - (cpu1 + idle1));
} catch (IOException ex) {
ex.printstacktrace();
}
return 0;
}
最佳答案
Context context = this.getApplicationContext();
ActivityManager mgr = (ActivityManager)context.getSystemService(ACTIVITY_SERVICE);
Listterator i = processes.iterator(); i.hasNext(); )
{
RunningAppProcessInfo p = (RunningAppProcessInfo)i.next();
Log.e("DEBUG"," process name: "+p.processName);
Log.e("DEBUG"," pid: "+p.pid);
int[] pids = new int[1];
pids[0] = p.pid;
android.os.Debug.MemoryInfo[] MI = mgr.getProcessMemoryInfo(pids);
Log.e("memory"," dalvik private: " + MI[0].dalvikPrivateDirty);
Log.e("memory"," dalvik shared: " + MI[0].dalvikSharedDirty);
Log.e("memory"," dalvik pss: " + MI[0].dalvikPss);
Log.e("memory"," native private: " + MI[0].nativePrivateDirty);
Log.e("memory"," native shared: " + MI[0].nativeSharedDirty);
Log.e("memory"," native pss: " + MI[0].nativePss);
Log.e("memory"," other private: " + MI[0].otherPrivateDirty);
Log.e("memory"," other shared: " + MI[0].otherSharedDirty);
Log.e("memory"," other pss: " + MI[0].otherPss);
Log.e("memory"," total private dirty memory (KB): " + MI[0].getTotalPrivateDirty());
Log.e("memory"," total shared (KB): " + MI[0].getTotalSharedDirty());
Log.e("memory"," total pss: " + MI[0].getTotalPss());
}
>在现代操作系统中,app使用共享库.因此,使用了一些存储器
通过多个应用程序,复杂化确定应用程序内存使用情况.
> dalvikPrivateDirty是java将释放的内存
虚拟机,如果进程被终止
> nativePrivateDirty与本机代码相同,对于某些人来说是相同的
其他代码(不知道还有什么)
> otherPrivateDirty dalvikSharedDirty是使用的共享内存
java虚拟机但是这不会被释放
>如果这个应用程序被杀死dalvikPss – 估计内存是多少
应用程序使用.这包括所有私人记忆,和
共享内存的一部分检查pss> = private原因
只使用一小部分共享内存是这样的
所有负责任的应用程序共享内存使用的合理性
此值用于估计应用程序的内存负载.
总数是dalvik,native和其他的总和.