What is Grid Computing

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).

Future generation distributed computational infrastructure that enables secure, dependable, scalable and dynamic collaboration among virtual organisations.

Interconnected computer systems where the machines utilize the same resources collectively.

A distributed network of high performance computers, storage elements, sensors and collaboration environments accessed transparently by users. Access to resources is conditional based on factors like authorization, trust, negotiation and resource-based policies.

A computing paradigm that enables the sharing, selection, and aggregation of a wide variety of geographically distributed computational resources.

Computations using a computational grid facility that consists of many computational or data-store resources. The software program that contains the computation has to take into account the fact that there are many computational cores in many nodes.

Computing paradigm that enables the sharing, selection, and aggregation of a wide variety of geographically distributed computational resources.

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.

Aggregate heterogeneous and geographically distributed computational resources

This involves the actual networking services and connections of a potentially-unlimited number of ubiquitous computing devices within a “Grid”.

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).

A computing grid is a system that delivers processing power of a massively parallel computation and facilitates the deployment of resources-intensive applications

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).

Grid computing is a type of distributed computing applications that enables resource sharing across a wide various physical locations and administrative domains.

The creation of a ‘virtual supercomputer’ by using a network of geographically dispersed computers.

A form of distributed computing that involves coordinating and sharing computing, application, data, storage, or network resources across dynamic and geographically dispersed organizations.

The use, across administrative domains, of computer resources typically for compute- or data-intensive scientific or industrial problems.

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).

A distributed architecture of large numbers of computers connected to solve a complex problem.

In general used to refer to a special type of parallel computing that relies on a distributed set of loosely coupled commodity computers interconnected by a network.

Computational efforts involving computing, networking, storage, or visualization that involves geographically-distributed and independently-operated resources that are linked together in a transparent fashion.

This involves the actual networking services and connections of a potentially unlimited number of ubiquitous computing devices within a “GRID”.

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.

An IT infrastructure that can dynamically integrate various resources together for use based on specific need. Those resources may be located on different places and managed by different organizations or authorities, connected through public or private networks.

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.

It involves resource sharing and coordinated problem solving in dynamic and multi-institutional virtual organizations.

A distributed computing paradigm for large-scale and effective resource sharing and task collaboration through enabling people to utilize computing and storage resources transparently.

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.

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.

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.

Grid computing is a newly developed technology for complex systems with large-scale resource sharing, wide-area communication, and multi-institutional collaboration.

Is the preconfigured general-purpose static computing services distribution system powered by the managed computing resources from multiple physical locations.

Is a middleware consisting of interconnected heterogeneous computer systems in a high-speed network to solve computation-intensive problems.

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)

Is a middleware consisting of interconnected heterogeneous computer systems in a high-speed network to solve computation-intensive problems.

Controlled sharing and management of large amount of distributed data.

Distributed computation over a grid of nodes dynamically allocated to the process in execution.

A software technology that coordinates distributed resources not subject to central control, using standard protocols and interfaces to meet required levels of service provision.

Is the aggregation of geographically-disperse and heterogeneous resources from different organizations to solve computationally complex problems.

A distributed computing paradigm that facilitates resource utilization and large scale problem solving on the Internet.

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.

Grid computing (or the use of a computational grid) is combining the computing resources of many organizations to a problem at the same time.

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.

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.

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.

A service scheme that facilitates the utilization of the processing and storage resources of many computers as a common infrastructure for specific application domains (scientific etc.).

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.

the infrastructure and services associated with the operation of heterogeneous, distributed computing systems that are primarily targeted at CPU intensive applications which admit parallelism.

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.

An integration of loosely coupled resources belonging to different administrative domains for high performance computing.

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.

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. Grids use the resources of many separate computers connected by a network to solve large-scale computation problems.

It is a form of distributed computing where, through networking and middleware, possibly geographically distributed and heterogeneous resources are aggregated and virtualized into a seamless resource pool available to its users.

Grid Computing refers to the interconnected computers to share resources with each other. Grid Computing is used to enlarge computational power and reduce processing time for every job.

A model of distributed computing based on the dynamic sharing of resources between participants, organisations and companies with the aim of combining these resources and carrying out intensive computing applications or the processing of vast amounts of data.

A new technology has been developed to contribute to the powerful computing ability for supporting distributed computing applications.

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).

The process of utilizing the existing infrastructure of geographically distributed and autonomous resources in order to perform parallel and/or distributed computing with non-trivial quality of service.