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  2. Be File System - Wikipedia

    en.wikipedia.org/wiki/Be_File_System

    The Be File System (BFS) is the native file system for the BeOS. In the Linux kernel, it is referred to as "BeFS" to avoid confusion with Boot File System . BFS was developed by Dominic Giampaolo and Cyril Meurillon over a ten-month period, starting in September 1996, [ 2 ] to provide BeOS with a modern 64-bit -capable journaling file system ...

  3. Boot File System - Wikipedia

    en.wikipedia.org/wiki/Boot_File_System

    He documented the file system layout as part of the process. [3] The Linux kernel implementation of BFS was written by Tigran Aivazian and it became part of the standard kernel sources on 28 October 1999 (Linux version 2.3.25). [4] The original BFS was written at AT&T Bell Laboratories for the UNIX System V, Version 4.0 porting base in 1986.

  4. BFS - Wikipedia

    en.wikipedia.org/wiki/BFS

    Be File System, the native file system for the Be Operating System; Best-first search, a path finding algorithm; Boot File System, a file system used on UnixWare to store files necessary to its boot process; Breadth-first search, a graph search algorithm; Brain Fuck Scheduler, a process scheduler for the Linux kernel

  5. bzip2 - Wikipedia

    en.wikipedia.org/wiki/Bzip2

    bzip2 is a free and open-source file compression program that uses the Burrows–Wheeler algorithm.It only compresses single files and is not a file archiver.It relies on separate external utilities such as tar for tasks such as handling multiple files, and other tools for encryption, and archive splitting.

  6. List of open-source codecs - Wikipedia

    en.wikipedia.org/wiki/List_of_open-source_codecs

    Many of the codecs listed implement media formats that are restricted by patents and are hence not open formats. For example, x264 is a widely used open source implementation of the heavily patent encumbered MPEG-4 AVC video compression standard.

  7. Lossless compression - Wikipedia

    en.wikipedia.org/wiki/Lossless_compression

    In fact, if we consider files of length N, if all files were equally probable, then for any lossless compression that reduces the size of some file, the expected length of a compressed file (averaged over all possible files of length N) must necessarily be greater than N. [citation needed] So if we know nothing about the properties of the data ...

  8. LZ4 (compression algorithm) - Wikipedia

    en.wikipedia.org/wiki/LZ4_(compression_algorithm)

    The reference implementation in C by Yann Collet is licensed under a BSD license. There are ports and bindings in various languages including Java, C#, Rust, and Python. [8] The Apache Hadoop system uses this algorithm for fast compression. LZ4 was also implemented natively in the Linux kernel 3.11. [9]

  9. LZ77 and LZ78 - Wikipedia

    en.wikipedia.org/wiki/LZ77_and_LZ78

    In the implementation used for many games by Electronic Arts, [9] the size in bytes of a length–distance pair can be specified inside the first byte of the length–distance pair itself; depending on whether the first byte begins with a 0, 10, 110, or 111 (when read in big-endian bit orientation), the length of the entire length–distance ...