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Gulliver's Travels by Jonathan Swift, the novel from which the term was coined. In computing, endianness is the order in which bytes within a word of digital data are transmitted over a data communication medium or addressed (by rising addresses) in computer memory, counting only byte significance compared to earliness.
BER: variable-length big-endian binary representation (up to 2 2 1024 bits); PER Unaligned: a fixed number of bits if the integer type has a finite range; a variable number of bits otherwise; PER Aligned: a fixed number of bits if the integer type has a finite range and the size of the range is less than 65536; a variable number of octets ...
The word lilliputian has become an adjective meaning "very small in size", or "petty or trivial". When used as a noun, it means either "a tiny person" or "a person with a narrow outlook, who minds the petty and trivial things." The use of the terms "Big-Endian" and "Little-Endian" in the story is the source of the computing term endianness.
An architecture may use "big" or "little" endianness, or both, or be configurable to use either. Little-endian processors order bytes in memory with the least significant byte of a multi-byte value in the lowest-numbered memory location. Big-endian architectures instead arrange bytes with the most significant byte at the lowest-numbered address.
This may be achieved by using a byte-order mark at the start of the text or assuming big-endian (RFC 2781). UTF-8, UTF-16BE, UTF-32BE, UTF-16LE and UTF-32LE are standardised on a single byte order and do not have this problem. If the byte stream is subject to corruption then some encodings recover better than others. UTF-8 and UTF-EBCDIC are ...
An ordering problem that is easy to envision occurs when the data word is transferred byte-by-byte between a big-endian system and a little-endian system and the Fletcher-32 checksum is computed. If blocks are extracted from the data word in memory by a simple read of a 16-bit unsigned integer, then the values of the blocks will be different in ...
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However, on modern standard computers (i.e., implementing IEEE 754), one may safely assume that the endianness is the same for floating-point numbers as for integers, making the conversion straightforward regardless of data type. Small embedded systems using special floating-point formats may be another matter, however.