Load (computing)

From Wikipedia, the free encyclopedia
Jump to: navigation, search
Htop displaying a big computing load

In UNIX computing, the system load is a measure of the amount of computational work that a computer system performs. The load average represents the average system load over a period of time. It conventionally appears in the form of three numbers which represent the system load during the last one-, five-, and fifteen-minute periods.

Unix-style load calculation[edit]

All Unix and Unix-like systems generate a metric of three "load average" numbers in the kernel. Users can easily query the current result from a Unix shell by running the uptime command:

$ uptime
 14:34:03 up 10:43,  4 users,  load average: 0.06, 0.11, 0.09

The w and top commands show the same three load average numbers, as do a range of graphical user interface utilities. In Linux, they can also be accessed by reading the /proc/loadavg file.

An idle computer has a load number of 0. Each process using or waiting for CPU (the ready queue or run queue) increments the load number by 1. Most UNIX systems count only processes in the running (on CPU) or runnable (waiting for CPU) states. However, Linux also includes processes in uninterruptible sleep states (usually waiting for disk activity), which can lead to markedly different results if many processes remain blocked in I/O due to a busy or stalled I/O system.[1] This, for example, includes processes blocking due to an NFS server failure or to slow media (e.g., USB 1.x storage devices). Such circumstances can result in an elevated load average, which does not reflect an actual increase in CPU use (but still gives an idea on how long users have to wait).

Systems calculate the load average as the exponentially damped/weighted moving average of the load number. The three values of load average refer to the past one, five, and fifteen minutes of system operation.[2]

For single-CPU systems that are CPU bound, one can think of load average as a percentage of system utilization during the respective time period. For systems with multiple CPUs, one must divide the number by the number of processors in order to get a comparable percentage.

For example, one can interpret a load average of "1.73 0.60 7.98" on a single-CPU system as:

  • during the last minute, the system was overloaded by 73% on average (1.73 runnable processes, so that 0.73 processes had to wait for a turn for a single CPU system on average).
  • during the last 5 minutes, the CPU was idling 40% of the time on average.
  • during the last 15 minutes, the system was overloaded 698% on average (7.98 runnable processes, so that 6.98 processes had to wait for a turn for a single CPU system on average).

This means that this system (CPU, disk, memory, etc.) could have handled all of the work scheduled for the last minute if it were 1.73 times as fast.

In a system with four CPUs, a load average of 3.73 would indicate that there were, on average, 3.73 processes ready to run, and each one could be scheduled into a CPU.

On modern UNIX systems, the treatment of threading with respect to load averages varies. Some systems treat threads as processes for the purposes of load average calculation: each thread waiting to run will add 1 to the load. However, other systems, especially systems implementing so-called M:N threading, use different strategies, such as counting the process exactly once for the purpose of load (regardless of the number of threads), or counting only threads currently exposed by the user-thread scheduler to the kernel, which may depend on the level of concurrency set on the process. Linux appears to count each thread separately as adding 1 to the load.[3]

CPU load vs CPU utilization[edit]

The comparative study of different load indices carried out by Ferrari et al.[4] reported that CPU load information based upon the CPU queue length does much better in load balancing compared to CPU utilization. The reason CPU queue length did better is probably because when a host is heavily loaded, its CPU utilization is likely to be close to 100% and it is unable to reflect the exact load level of the utilization. In contrast, CPU queue lengths can directly reflect the amount of load on a CPU. As an example, two systems, one with 3 and the other with 6 processes in the queue, are both very likely to have utilizations close to 100% although they obviously differ.[original research?]

Reckoning CPU load[edit]

On Linux systems, the load-average is not calculated on each clock tick, but driven by a variable value that is based on the Hz frequency setting and tested on each clock tick. (Hz variable is the pulse rate of particular Linux kernel activity. 1 Hz is equal to one clock tick; 10ms by default.) Although the Hz value can be configured in some versions of the kernel, it is normally set to 100. The calculation code uses the Hz value to determine the CPU Load calculation frequency. Specifically, the timer.c::calc_load() function will run the algorithm every 5 * Hz, or roughly every five seconds. Following is that function in its entirety:

unsigned long avenrun[3];
 
static inline void calc_load(unsigned long ticks)
{
   unsigned long active_tasks; /* fixed-point */
   static int count = LOAD_FREQ;
 
   count -= ticks;
   if (count < 0) {
      count += LOAD_FREQ;
      active_tasks = count_active_tasks();
      CALC_LOAD(avenrun[0], EXP_1, active_tasks);
      CALC_LOAD(avenrun[1], EXP_5, active_tasks);
      CALC_LOAD(avenrun[2], EXP_15, active_tasks);
   }
}

The countdown is over a LOAD_FREQ of 5 Hz.

1 HZ = 100 ticks
5 HZ = 500 ticks
1 tick = 10 milliseconds
500 ticks = 5000 milliseconds (or 5 seconds)
So, 5 HZ means that CALC_LOAD is called every 5 seconds.

The avenrun array contains 1-minute, 5-minute and 15-minute average. The CALC_LOAD macro and its associated values are defined in sched.h :

#define FSHIFT   11		/* nr of bits of precision */
#define FIXED_1  (1<<FSHIFT)	/* 1.0 as fixed-point */
#define LOAD_FREQ (5*HZ)	/* 5 sec intervals */
#define EXP_1  1884		/* 1/exp(5sec/1min) as fixed-point */
#define EXP_5  2014		/* 1/exp(5sec/5min) */
#define EXP_15 2037		/* 1/exp(5sec/15min) */
 
#define CALC_LOAD(load,exp,n) \
   load *= exp; \
   load += n*(FIXED_1-exp); \
   load >>= FSHIFT;

Other system performance commands[edit]

Other commands for assessing system performance include:

  • uptime the system reliability and load average
  • top for an overall system view
  • vmstat vmstat reports information about runable or blocked processes, memory, paging, block I/O, traps, and CPU.
  • htop interactive process viewer
  • dstat helps correlate all existing resource data for processes, memory, paging, block I/O, traps, and CPU activity.
  • iftop interactive network traffic viewer per interface
  • nethogs interactive network traffic viewer per process
  • iotop interactive I/O viewer - iotop homepage
  • iostat for storage I/O statistics
  • netstat for network statistics
  • mpstat for CPU statistics
  • tload load average graph for terminal
  • xload load average graph for X
  • /proc/loadavg text file containing load average

See also[edit]

External links[edit]

Notes[edit]

  1. ^ This paper's discussion is useful, but it contains at least one error, in equation 3 (Section 4.2, page 12): The equation should be load(t) = n e-5/60 + load(t-1) (1 - e-5/60) instead of load(t) = load(t-1) e-5/60 + n (1 - e-5/60).

References[edit]

  1. ^ http://linuxtechsupport.blogspot.com/2008/10/what-exactly-is-load-average.html
  2. ^ Ray Walker (1 December 2006). "Examining Load Average". Linux Journal. Retrieved 13 March 2012. 
  3. ^ See http://serverfault.com/a/524818/27813
  4. ^ Domenico Ferrari and Songnian Zhou, "An Empirical Investigation of Load Indices For Load Balancing Applications" Proc. Performance ’87, the 12th Int’l Symp. On Computer Performance Modeling, Measurement, and Evaluation, North Holland Publishers, Amsterdam. The Netherlands 1988. pp. 515-528