Beispiel #1
0
def win_check_cpu_use(cpulim, pid):
  global winlastcpuinfo
  
  # get use information and time...
  now = getruntime()

  # Get the total cpu time
  usertime = windows_api.get_process_cpu_time(pid)

  useinfo = [usertime, now]

  # get the previous time and cpu so we can compute the percentage
  oldusertime = winlastcpuinfo[0]
  oldnow = winlastcpuinfo[1]

  if winlastcpuinfo == [0,0]:
    winlastcpuinfo = useinfo
    # give them a free pass if it's their first time...
    return 0

  # save this data for next time...
  winlastcpuinfo = useinfo

  # Get the elapsed time...
  elapsedtime = now - oldnow

  # This is a problem
  if elapsedtime == 0:
    return -1 # Error condition
    
  # percent used is the amount of change divided by the time...
  percentused = (usertime - oldusertime) / elapsedtime

  # Calculate amount of time to sleep for
  stoptime = nanny_resource_limits.calculate_cpu_sleep_interval(cpulim, percentused,elapsedtime)

  if stoptime > 0.0:
    # Try to timeout the process
    if windows_api.timeout_process(pid, stoptime):
      # Log the stoptime
      process_stopped_timeline.append((now, stoptime))

      # Drop the first element if the length is greater than the maximum entries
      if len(process_stopped_timeline) > process_stopped_max_entries:
        process_stopped_timeline.pop(0)

      # Return how long we slept so parent knows whether it should sleep
      return stoptime
  
    else:
      # Process must have been making system call, try again next time
      return -1
  
  # If the stop time is 0, then avoid calling timeout_process
  else:
    return 0.0
Beispiel #2
0
def resource_monitor(childpid, pipe_handle):
  """
  <Purpose>
    Function runs in a loop forever, checking resource usage and throttling CPU.
    Checks CPU, memory, and disk.
    
  <Arguments>
    childpid:
      The child pid, e.g. the pid of repy

    pipe_handle:
      A handle to the pipe to the repy process. Allows sending resource use information.
  """
  # Get our pid
  ourpid = os.getpid()
  
  # Calculate how often disk should be checked
  disk_interval = int(repy_constants.RESOURCE_POLLING_FREQ_LINUX / repy_constants.CPU_POLLING_FREQ_LINUX)
  current_interval = -1 # What cycle are we on  
  
  # Store time of the last interval
  last_time = getruntime()
  last_CPU_time = 0
  resume_time = 0 
  
  # Run forever...
  while True:
    ########### Check CPU ###########
    # Get elasped time
    currenttime = getruntime()
    elapsedtime1 = currenttime - last_time     # Calculate against last run
    elapsedtime2 = currenttime - resume_time   # Calculate since we last resumed repy
    elapsedtime = min(elapsedtime1, elapsedtime2) # Take the minimum interval
    last_time = currenttime  # Save the current time
    
    # Safety check, prevent ZeroDivisionError
    if elapsedtime == 0.0:
      continue
    
    # Get the total cpu at this point
    totalCPU =  os_api.get_process_cpu_time(ourpid)   # Our own usage
    totalCPU += os_api.get_process_cpu_time(childpid) # Repy's usage
    
    # Calculate percentage of CPU used
    percentused = (totalCPU - last_CPU_time) / elapsedtime
    
    # Do not throttle for the first interval, wrap around
    # Store the totalCPU for the next cycle
    if last_CPU_time == 0:
      last_CPU_time = totalCPU    
      continue
    else:
      last_CPU_time = totalCPU
      
    # Calculate stop time
    stoptime = nanny_resource_limits.calculate_cpu_sleep_interval(nanny_resource_limits.resource_limit("cpu"), percentused, elapsedtime)
    
    # If we are supposed to stop repy, then suspend, sleep and resume
    if stoptime > 0.0:
      # They must be punished by stopping
      os.kill(childpid, signal.SIGSTOP)

      # Sleep until time to resume
      time.sleep(stoptime)

      # And now they can start back up!
      os.kill(childpid, signal.SIGCONT)
      
      # Save the resume time
      resume_time = getruntime()

      # Send this information as a tuple containing the time repy was stopped and
      # for how long it was stopped
      write_message_to_pipe(pipe_handle, "repystopped", (currenttime, stoptime))
      
    
    ########### End Check CPU ###########
    # 
    ########### Check Memory ###########
    
    # Get how much memory repy is using
    memused = os_api.get_process_rss()
    
    # Check if it is using too much memory
    if memused > nanny_resource_limits.resource_limit("memory"):
      raise ResourceException, "Memory use '"+str(memused)+"' over limit '"+str(nanny_resource_limits.resource_limit("memory"))+"'."
    
    ########### End Check Memory ###########
    # 
    ########### Check Disk Usage ###########
    # Increment our current cycle
    current_interval += 1;
    
    # Check if it is time to check the disk usage
    if (current_interval % disk_interval) == 0:
      # Reset the interval
      current_interval = 0
       
      # Calculate disk used
      diskused = compute_disk_use(repy_constants.REPY_CURRENT_DIR)

      # Raise exception if we are over limit
      if diskused > nanny_resource_limits.resource_limit("diskused"):
        raise ResourceException, "Disk use '"+str(diskused)+"' over limit '"+str(nanny_resource_limits.resource_limit("diskused"))+"'."

      # Send the disk usage information, raw bytes used
      write_message_to_pipe(pipe_handle, "diskused", diskused)
    
    ########### End Check Disk ###########
    
    # Sleep before the next iteration
    time.sleep(repy_constants.CPU_POLLING_FREQ_LINUX)