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  2. Comparison of distributed file systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_distributed...

    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Gluster, Lustre and old (1.6.x) version of MooseFS, although this document is from 2013 and a lot of information are outdated (e.g. MooseFS had no HA for Metadata Server at that time). [50]

  3. List of file systems - Wikipedia

    en.wikipedia.org/wiki/List_of_file_systems

    Some of the distributed parallel file systems use an object storage device (OSD) (in Lustre called OST) for chunks of data together with centralized metadata servers. BeeGFS is a hardware-independent parallel file system that features distributed metadata and striping of files across multiple targets, such as NVMe devices or logical volumes.

  4. Hierarchical Data Format - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_Data_Format

    Hierarchical Data Format (HDF) is a set of file formats (HDF4, HDF5) designed to store and organize large amounts of data.Originally developed at the U.S. National Center for Supercomputing Applications, it is supported by The HDF Group, a non-profit corporation whose mission is to ensure continued development of HDF5 technologies and the continued accessibility of data stored in HDF.

  5. Quantcast File System - Wikipedia

    en.wikipedia.org/wiki/Quantcast_File_System

    Quantcast File System (QFS) is an open-source distributed file system software package for large-scale MapReduce or other batch-processing workloads. It was designed as an alternative to the Apache Hadoop Distributed File System ( HDFS ), intended to deliver better performance and cost-efficiency for large-scale processing clusters.

  6. Apache Hadoop - Wikipedia

    en.wikipedia.org/wiki/Apache_Hadoop

    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 ...

  7. Distributed file system for cloud - Wikipedia

    en.wikipedia.org/wiki/Distributed_file_system...

    Its file storage capability is compatible with the Apache Hadoop Distributed File System (HDFS) API but with several design characteristics that distinguish it from HDFS. Among the most notable differences are that MapR-FS is a fully read/write filesystem with metadata for files and directories distributed across the namespace, so there is no ...

  8. HDFS - Wikipedia

    en.wikipedia.org/?title=HDFS&redirect=no

    Hadoop Distributed File System is a distributed file system that handles large data sets running on commodity hardware (Ishengoma, 2013). It is used to scale a single Apache Hadoop cluster to hundreds (and even thousands) of nodes. HDFS is one of the major components of Apache Hadoop, the others being MapReduce and YARN.

  9. Moose File System - Wikipedia

    en.wikipedia.org/wiki/Moose_File_System

    Moose File System (MooseFS) is an open-source, POSIX-compliant distributed file system developed by Core Technology. MooseFS aims to be fault-tolerant , highly available, highly performing, scalable general-purpose network distributed file system for data centers .