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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.
distcc works as an agent for the compiler. A distcc daemon has to run on each of the participating machines. The originating machine invokes a preprocessor to handle header files, preprocessing directives (such as #ifdef) and the source files and sends the preprocessed source to other machines over the network via TCP either unencrypted or ...
Ceph (pronounced / ˈ s ɛ f /) is a free and open-source software-defined storage platform that provides object storage, [7] block storage, and file storage built on a common distributed cluster foundation.
The Exports server is a user-space daemon; the metadata are stored synchronously to a usual file system (the underlying file system must support extended attributes). Storage servers — (Chunk Server) store the chunks. The Chunk server is also a user-space daemon that relies on the underlying local file system to manage the actual storage.
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.
Category for distributed file systems. Distributed file systems are network file systems where the server can be distributed across several physical computer nodes. File systems that share access to the same block storage are shared disk file systems.
The Parallel Virtual File System (PVFS) is an open-source parallel file system. A parallel file system is a type of distributed file system that distributes file data across multiple servers and provides for concurrent access by multiple tasks of a parallel application.
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.