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Software timekeeping systems vary widely in the resolution of time measurement; some systems may use time units as large as a day, while others may use nanoseconds.For example, for an epoch date of midnight UTC (00:00) on 1 January 1900, and a time unit of a second, the time of the midnight (24:00) between 1 January 1900 and 2 January 1900 is represented by the number 86400, the number of ...
Many computer systems measure time and date using Unix time, an international standard for digital timekeeping.Unix time is defined as the number of seconds elapsed since 00:00:00 UTC on 1 January 1970 (an arbitrarily chosen time based on the creation of the first Unix system), which has been dubbed the Unix epoch.
The C standard library uses Unix time for all date and time functions, and Unix time is sometimes referred to as time_t, the name of the data type used for timestamps in C and C++. C's Unix time functions are defined as the system time API in the POSIX specification. [15]
Metric time is the measure of time intervals using the metric system.The modern SI system defines the second as the base unit of time, and forms multiples and submultiples with metric prefixes such as kiloseconds and milliseconds.
millisecond: ms One thousandth of one second 1 ms: The time for a neuron in the human brain to fire one impulse and return to rest [13] 4–8 ms: The typical seek time for a computer hard disk: 10 −2: centisecond cs One hundredth of one second 1.6667 cs: The period of a frame at a frame rate of 60 Hz.
Closely related to system time is process time, which is a count of the total CPU time consumed by an executing process.It may be split into user and system CPU time, representing the time spent executing user code and system kernel code, respectively.
A unit of 10 milliseconds may be called a centisecond, and one of 100 milliseconds a decisecond, but these names are rarely used. [3] To help compare orders of magnitude of different times , this page lists times between 10 −3 seconds and 10 0 seconds (1 milli second and one second).
An entity–attribute–value model (EAV) is a data model optimized for the space-efficient storage of sparse—or ad-hoc—property or data values, intended for situations where runtime usage patterns are arbitrary, subject to user variation, or otherwise unforeseeable using a fixed design.