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A computer cluster may be a simple two-node system which just connects two personal computers, or may be a very fast supercomputer. A basic approach to building a cluster is that of a Beowulf cluster which may be built with a few personal computers to produce a cost-effective alternative to traditional high-performance computing.
Oracle Grid Engine, [1] previously known as Sun Grid Engine (SGE), CODINE (Computing in Distributed Networked Environments) or GRD (Global Resource Director), [2] was a grid computing computer cluster software system (otherwise known as a batch-queuing system), acquired as part of a purchase of Gridware, [3] then improved and supported by Sun Microsystems and later Oracle.
GridRPC in distributed computing, is Remote Procedure Call over a grid.This paradigm has been proposed by the GridRPC working group [1] of the Open Grid Forum (OGF), and an API has been defined [2] in order for clients to access remote servers as simply as a function call.
Grid MP: Univa (formerly United Devices) Job Scheduler no active development Distributed master/worker HTC/HPC Proprietary: Windows, Linux, Mac OS X, Solaris Cost Apache Mesos: Apache actively developed Apache license v2.0 Linux Free Yes Moab Cluster Suite: Adaptive Computing Job Scheduler actively developed HPC Proprietary
The first prototype was constructed in 2005 at Centre for Grid Computing, Cambridge-Cranfield High Performance Computing Facility. The first conference presentation was at IEEE Symposium on Cluster Computing and Grid (CCGrid), 9–12 May 2005, Cardiff, UK.
“Distributed” or “grid” computing in general is a special type of parallel computing that relies on complete computers (with onboard CPUs, storage, power supplies, network interfaces, etc.) connected to a network (private, public or the Internet) by a conventional network interface producing commodity hardware, compared to the lower efficiency of designing and constructing a small ...
It provides a set of software libraries that allow a computing node to act as a "parallel virtual machine". It provides run-time environment for message-passing, task and resource management, and fault notification and must be directly installed on every cluster node. PVM can be used by user programs written in C, C++, or Fortran, etc. [6] [8]
Within cluster and parallel computing, a cluster manager is usually backend graphical user interface (GUI) or command-line interface (CLI) software that runs on a set of cluster nodes that it manages (in some cases it runs on a different server or cluster of management servers). The cluster manager works together with a cluster management agent.