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The term can also refer to the condition a computer running such a workload is in, in which its processor utilization is high, perhaps at 100% usage for many seconds or minutes, and interrupts generated by peripherals may be processed slowly or be indefinitely delayed. [citation needed]
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.
The short-term scheduler (also known as the CPU scheduler) decides which of the ready, in-memory processes is to be executed (allocated a CPU) after a clock interrupt, an I/O interrupt, an operating system call or another form of signal. Thus the short-term scheduler makes scheduling decisions much more frequently than the long-term or mid-term ...
Availability measurement is subject to some degree of interpretation. A system that has been up for 365 days in a non-leap year might have been eclipsed by a network failure that lasted for 9 hours during a peak usage period; the user community will see the system as unavailable, whereas the system administrator will claim 100% uptime.
Even memory, the fastest of these, cannot supply data as fast as the CPU could process it. In an example from 2011, typical PC processors like the Intel Core 2 and the AMD Athlon 64 X2 run with a clock of several GHz , which means that one clock cycle is less than 1 nanosecond (typically about 0.3 ns to 0.5 ns on modern desktop CPUs), while ...
Uptime is a measure of system reliability, expressed as the period of time a machine, typically a computer, has been continuously working and available.Uptime is the opposite of downtime.
Capacity utilization or capacity utilisation is the extent to which a firm or nation employs its installed productive capacity (maximum output of a firm or nation). It is the relationship between output that is produced with the installed equipment, and the potential output which could be produced with it, if capacity was fully used. [1]
Multiple threads can interfere with each other when sharing hardware resources such as caches or translation lookaside buffers (TLBs). As a result, execution times of a single thread are not improved and can be degraded, even when only one thread is executing, due to lower frequencies or additional pipeline stages that are necessary to accommodate thread-switching hardware.