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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.
The Hadoop distributed file system (HDFS) is a distributed, scalable, and portable file system written in Java for the Hadoop framework. Some consider it to instead be a data store due to its lack of POSIX compliance, [ 36 ] but it does provide shell commands and Java application programming interface (API) methods that are similar to other ...
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
Some researchers have made a functional and experimental analysis of several distributed file systems including HDFS, Ceph, Gluster, Lustre and old (1.6.x) version of MooseFS, although this document is from 2013 and a lot of information are outdated (e.g. MooseFS had no HA for Metadata Server at that time).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.
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 ...
For example, Google's copy of the web can be stored in a bigtable where the row key is a domain-reversed URL, and columns describe various properties of a web page, with one particular column holding the page itself. The page column can have several timestamped versions describing different copies of the web page timestamped by when they were ...
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.