Big-endian
Big-endian
In computer science, big-endianis a term that describes the order in which bytes are arranged within larger data types when stored in computer memory. In a big-endian system, the most significant byte (the "big end") of a word is stored at the smallest memory address and the least significant byte is stored at the highest. This is in contrast to little-endian systems, where the least significant byte is stored at the smallest address.
Overview[edit | edit source]
The concept of byte order, or "endianness," is crucial in computer architecture, particularly in the context of data storage and transmission. Endianness affects how data is interpreted when read from memory or received over a network.
In a big-endian system, the byte order is such that the most significant byte is stored first. For example, consider the hexadecimal number `0x12345678`. In a big-endian system, this would be stored in memory as:
| Address | Value | |---------|-------| | 0 | 0x12 | | 1 | 0x34 | | 2 | 0x56 | | 3 | 0x78 |
This ordering is analogous to the way humans typically write numbers, with the most significant digit first.
Historical Context[edit | edit source]
The terms "big-endian" and "little-endian" were popularized by Danny Cohen in his 1980 paper "On Holy Wars and a Plea for Peace," which humorously referenced the conflict between the two byte orders to the satirical novel "Gulliver's Travels" by Jonathan Swift. In the novel, the terms referred to a conflict over the correct end to crack an egg.
Historically, big-endian byte order was used by several early computer architectures, including the IBM System/360 and its successors. Many network protocols, such as IPv4 and IPv6, also use big-endian order, which is sometimes referred to as "network byte order."
Applications[edit | edit source]
Big-endian byte order is used in various applications and systems, including:
- Networking: Many network protocols, including the Internet Protocol (IP), use big-endian order to ensure consistent data interpretation across different systems.
- File Formats: Some file formats, such as JPEG and TIFF, use big-endian order for storing data.
- Hardware Architectures: Certain hardware architectures, such as the SPARC and PowerPC, traditionally use big-endian order.
Advantages and Disadvantages[edit | edit source]
Advantages[edit | edit source]
- Human Readability: Big-endian order aligns with the way humans typically write and read numbers, making it more intuitive for certain applications.
- Network Consistency: Using a consistent byte order, such as big-endian, across network protocols helps ensure data is interpreted correctly regardless of the underlying hardware architecture.
Disadvantages[edit | edit source]
- Performance: On systems that use little-endian order natively, converting data to big-endian order can introduce additional processing overhead.
- Compatibility: Interfacing between systems with different endianness can require additional logic to handle byte order conversion.
Also see[edit | edit source]
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