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In computing, a distributed file system (DFS) or network file system is any file system that allows access from multiple hosts to files shared via a computer network. This makes it possible for multiple users on multiple machines to share files and storage resources.
Google File System (GFS or GoogleFS, not to be confused with the GFS Linux file system) is a proprietary distributed file system developed by Google to provide efficient, reliable access to data using large clusters of commodity hardware. Google file system was replaced by Colossus in 2010.
GmailFS (Google Mail File System) GridFS – GridFS is a specification for storing and retrieving files that exceed the BSON-document size limit of 16 MB for MongoDB. lnfs (long names) LTFS (Linear Tape File System for LTO and Enterprise tape) MVFS – MultiVersion File System, proprietary, used by IBM DevOps Code ClearCase.
Hadoop works directly with any distributed file system that can be mounted by the underlying operating system by simply using a file:// URL; however, this comes at a price – the loss of locality. To reduce network traffic, Hadoop needs to know which servers are closest to the data, information that Hadoop-specific file system bridges can provide.
File system Creator Year of introduction Original operating system; DECtape: DEC: 1964 PDP-6 Monitor OS/3x0 FS: IBM: 1964 OS/360: Level-D DEC: 1968 TOPS-10: George 3 ICT (later ICL) 1968 George 3: Version 6 Unix file system (V6FS) Bell Labs: 1972 Version 6 Unix: RT-11 file system DEC: 1973 RT-11: Disk Operating System GEC: 1973 Core Operating ...
Google File System (GFS) and Hadoop Distributed File System (HDFS) are specifically built for handling batch processing on very large data sets. For that, the following hypotheses must be taken into account: [9] High availability: the cluster can contain thousands of file servers and some of them can be down at any time
In computing, the Global File System 2 (GFS2) is a shared-disk file system for Linux computer clusters. GFS2 allows all members of a cluster to have direct concurrent access to the same shared block storage , in contrast to distributed file systems which distribute data throughout the cluster.
The MapR File System (MapR FS) is a clustered file system that supports both very large-scale and high-performance uses. [1] MapR FS supports a variety of interfaces including conventional read/write file access via NFS and a FUSE interface, as well as via the HDFS interface used by many systems such as Apache Hadoop and Apache Spark.