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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Gluster, Lustre and old (1.6.x) version of MooseFS, although this document is from 2013 and a lot of information are outdated (e.g. MooseFS had no HA for Metadata Server at that time).
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 .
Coda is a distributed file system developed as a research project at Carnegie Mellon University since 1987 under the direction of Mahadev Satyanarayanan. It descended directly from an older version of Andrew File System (AFS-2) and offers many similar features. The InterMezzo file system was inspired by Coda.
A dataspace has two components: a bytestream and a set of key/value pairs. The bytestream is an ordered sequence of bytes, typically used to hold file data, and the key/value pairs are typically used to hold metadata. The object-based design has become typical of many distributed file systems including Lustre, Panasas, and pNFS.
Some examples include: MapR File System (MapR-FS), Ceph-FS, Fraunhofer File System (BeeGFS), Lustre File System, IBM General Parallel File System (GPFS), and Parallel Virtual File System. MapR-FS is a distributed file system that is the basis of the MapR Converged Platform, with capabilities for distributed file storage, a NoSQL database with ...
File system 5.3 MB Source Code Control System: C: Changeset File Numbers NFS: 1.3 MB StarTeam: C++, C, Java: Snapshot File and Tree MD5 hashes custom, TCP/IP Unknown Subversion: C: Changeset and Snapshot Tree Numbers custom (svn), custom over ssh, HTTP and SSL (using WebDAV) 41 MB Surround SCM: C++: Changeset File and Tree Numbers TCP/IP Un ...
The Lustre file system architecture was started as a research project in 1999 by Peter J. Braam, who was a staff of Carnegie Mellon University (CMU) at the time. Braam went on to found his own company Cluster File Systems in 2001, [27] starting from work on the InterMezzo file system in the Coda project at CMU. [28]
HTCondor is an open-source high-throughput computing software framework for coarse-grained distributed parallelization of computationally intensive tasks. [1] It can be used to manage workload on a dedicated cluster of computers, or to farm out work to idle desktop computers – so-called cycle scavenging.