Grid computing is a type of computing in which

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A style of computing that dynamically pools IT resources together for use based on resource need. It allows organizations to provision and scale resources as needs arise, thereby preventing the underutilization of resources (computers, networks, data archives, instruments). Learn more in: Database Integration in the Grid Infrastructure

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The term grid computing describes a distributed computing platform which integrates distributed computing resources such as CPUs and data to support computationally-intensive and/or data intensive scientific tasks. In general, grid computing is divided into two subtypes, i.e., data grid and computational grid. Data grids provide controlled sharing and management of large amounts of distributed data, while computational grid acts as a “virtual supercomputer” composed of a network of loosely-coupled computers, acting in concert to perform very large tasks. What distinguishes grid computing from typical cluster computing systems is that grids tend to be more loosely coupled, heterogeneous, and geographically dispersed. Meanwhile, it is often constructed with the aid of general purpose grid software libraries and middleware. Learn more in: A Graphical Workflow Modeler for Docking Process in Drug Discovery

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Is distributed computer systems, comprising of many geographically scattered computer resources, which are connected by high-speed network, and logically organized into a single system by a software layer, usually designated as middleware. Typical examples of Grids include large networks of computer clusters distributed over many institutions contributing computer resources. Most notable are the Grids operated by EGI (European Grid Infrastructure) and OSG (Open Science Grid in USA), used for scientific computing by researchers (primarily for particle physics applications, but the number of fields of science and user groups relying on these Grids is significantly increasing over the years). Learn more in: High Performance and Grid Computing Developments and Applications in Condensed Matter Physics

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A style of computing that dynamically pools IT resources together for use based on resource need. It allows organizations to provision and scale resources as needs arise, thereby preventing the underutilization of resources (computers, networks, data archives, instruments). Learn more in: A Grid Paradigm for e-Science Applications

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A computing model that provides the ability to perform higher throughput computing by taking advantage of many networked computers to model a virtual computer architecture that is able to distribute process execution across a parallel infrastructure. GRID Computing is basically taking a number of inexpensive personal computers and connecting them via a network to build a supercomputer, which can utilize the idle processing time on each machine to carry out tasks that would have previously required an expensive mainframe. One comparison that is often used to describe a computational GRID is that of the electrical GRIDs responsible for providing electricity. Learn more in: Autonomic Computing

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A style of computing that dynamically pools IT resources together in order to dynamically allocate resources depending on needs. It allows organizations to provision and scale resources as needs arise, thereby preventing their underutilization. Learn more in: A Framework for Semantic Grid in E-Science

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An emerging service-oriented computing model that provides the ability to perform higher throughput and data-intensive computing by securely bringing together geographically and organizationally dispersed computational resources for providing users with advanced ubiquitous distributed sharable computing. Learn more in: Grid Computing and its Application to Geoinformatics

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Computing model that provides the ability to perform higher throughput computing by taking advantage of many networked computers to model a virtual computer architecture that is able to distribute process execution across a parallel infrastructure. Learn more in: OpenDLib: A Digital Library Service System

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Is a model of distributed computing that uses geographically and administratively disparate resources. A Grid is a type of parallel and distributed system that enables the sharing, selection, and aggregation of geographically distributed ‘autonomous’ resources dynamically at runtime depending on their availability, capability, performance, cost, and users' quality-of-service requirements. Individual users can access computers and data transparently, without having to consider location, operating system, account administration, and other details. Learn more in: Schedulers Based on Ant Colony Optimization for Parameter Sweep Experiments in Distributed Environments

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A type of computing which relies on complete computers connected by a conventional network interface, to allow organizations to provision and scale resources as needs arise, thereby preventing the underutilization of resources (computers, networks, data archives, instruments) Learn more in: Grid Computing Initiatives in India

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A grid is an infrastructure of geographically distributed resources, comprising hardware components to aggregate and to coordinate resources. By using a grid of computers, it is possible to aggregate computational power to generate a huge virtual multi-computer ready for processing, storage, and communication. Learn more in: The Ubiquitous Grid

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Distributed computation over a grid of nodes dynamically allocated to the process in execution. Interoperability: Possibility of performing computation in a distributed heterogeneous environment without altering the technological and specification structure at each involved node. Learn more in: Setting the Framework of E-Collaboration for E-Science

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Grid computing is a computer network in which each computer's resources are shared with every other computer in the system. Processing power, memory, and data storage are all community resources that authorized users can tap into and leverage for specific tasks. Learn more in: Cloud-Based Design and Manufacturing

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Is a form of networking, which, unlike conventional networks that focus on communication among devices, harnesses unused processing cycles of all computers in a network for solving problems too intensive for any stand-alone machine. It is applying the resources of many computers in a network to a single problem at the same time - usually to a scientific or technical problem that requires a great number of computer processing cycles or access to large amounts of data. Learn more in: Adaptive Query Processing in Data Grids

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Is a distributed system infrastructure (hardware and software) for enabling remote resource sharing and utilization to provide massive computing capabilities as a set of services. Learn more in: Taxonomy of Grid Systems

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Based on a parallel and distributed system that enables the sharing, selection, and aggregation of geographically distributed autonomous resources dynamically and at runtime, depending on their availability, capability, performance, cost, and users’ quality-of-service requirements. Learn more in: Parallel, Distributed, and Grid-Based Data Mining: Algorithms, Systems, and Applications

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A new distributed system that consists of distributed computing resources over the Internet. A grid allows the sharing of computing power, data, and information in a unified model. The studies of grid computing include how to use the distributed computing resources effectively to provide high-performance computing power, deliver e-services, and allow for information sharing while ensuring security and reliability. Learn more in: Exploiting Agent Technology

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A style of computing that dynamically pools IT resources together for use based on resource need. It allows organizations to provision and scale resources as needs arise, thereby preventing the underutilization of resources (computers, networks, data archives, instruments). Learn more in: Accessing Grid Metadata through a Web Interface

What are the types of grid computing?

What is the grid computing Mcq?

What is grid computing use for?

Is grid computing distributed computing?