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Computacion Grid, image - Coggle Diagram
Computacion Grid
Network computing
Network computing is a generic term in computing which refers to computers or nodes working together over a network. The two basic models of computing are:
1- centralized computing:- where computing is done at a central location, using terminals that are attached to a central computer.
2- decentralized computing:- where computing is done at various individual station or location and each system have power to run independently.
Distributed system
A distributed system is a model where distributed applications are running on multiple computers linked by a communications network. Sometimes it is also called loosely coupled systems because in which each processor has its own local memory and processing units.
Internet Computing
Internet computing is the only architecture that supports all information flows and processes over the Internet providing access to all applications. With Internet computing, all a user needs is a standard Web browser and security clearance.
Parallel system
Parallel Systems are designed to speed up the execution of programs by diving the programs into multiple fragments and processing these fragments at the same time. Flynn has classified computer systems into four types based on parallelism in the instructions and in the data streams.
Grid computing
Grid computing is the practice of leveraging multiple computers, often geographically distributed but connected by networks, to work together to accomplish joint tasks. It is typically run on a “data grid,” a set of computers that directly interact with each other to coordinate jobs.
Peer to peer
denoting or relating to computer networks in which each computer can act as a server for the others, allowing shared access to files and peripherals without the need for a central server.
Meta-computing
Metacomputing is a technology designed to integrate multiple computing resources to develop a variety of applications related to business, management, industry and software. Metacomputing technology is also used to gather, interpret and analyze data from various databases and devices.
Cluster computing
Cluster Computing addresses the latest results in these fields that support High Performance Distributed Computing (HPDC). In HPDC environments, parallel and/or distributed computing techniques are applied to the solution of computationally intensive applications across networks of computers.
Global computing
Global computing achieves high throughput computing by harvesting a very large number of unused computing resources connected to the Internet. This parallel computing model targets a parallel architecture defined by a very high number of nodes, poor communication performance and continuously varying resources.
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