Examples of using Grid computing in English and their translations into Indonesian
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Who's afraid of grid computing?
Grid computing is not something new.
Are Cloud Service Separate from utility, on-demand and grid computing?
Grid computing is conceptually not like electric grids. .
How is cloud computing different from utility, on-demand and grid computing?
Cloud computing evolves from grid computing and provides on-- demand resource provisioning.
Courses include Parallel Programming and Distributed Systems, Cluster and Grid Computing and Computer Graphics.
The systems that comprise a grid computing network do not have to be similar in design or in the same geographic location.
According to John Patrick, IBM's vice-president for Internet strategies,"thenext big thing will be grid computing.".
Cloud computing, grid computing, and managed IT services are based on the concept of Utility computing. .
Cloud computing is the development of parallel computing, distributed computing and grid computing.
For the segmentation of the grid computing market, two perspectives need to be considered: the provider side and the user side.
He has worked in parallel computing and computer graphics since 1993, with a special focus on parallel programming and debugging,cluster and Grid computing.
Grid Computing breaks complex task into smaller pieces, which are distributed to CPUs that reside within the grid. .
The Internet PrimeNet Server supports GIMPS's grid computing approach, one of the earliest and most successful grid computing projects, since 1997.
Grid computing requires the use of software that can divide and farm out pieces of a program to as many as several thousand computers.
For companies on the demand or user side of the grid computing market, the different segments have significant implications for their IT deployment strategy.
Grid computing harnesses the idle processing power of various computing units, and uses that processing power to compute one job.
To address simultaneously the problems of monolithic systems and fragmented resources, grid computing achieves a balance between the benefits of holistic resource management and flexible independent resource control.
Unlike grid computing, which distributes IT for a specific task, cloud computing is used across an entire range of activities.
The first database designed for enterprise grid computing, Oracle Database is a flexible and cost effective way to manage information and applications.
Grid computing requires the use of software that can divide and farm out pieces of a program to as many as several thousand computers.
An important consideration when creating a grid computing job is that whether the code is executed serially or as parallel tasks, the outcome of both must always be equal under every circumstance.
Grid computing requires the use of software that can divide and farm out pieces of a program as one large system image to several thousand computers.
Provisioning as part of grid computing means that the system determines how to meet the specific need of the consumer, while optimizing operation of the system as a whole.
Grid computing offers a way to solve Grand Challenge problems such as protein folding, financial modeling, earthquake simulation, and climate/weather modeling.
Grid Computing refers to distributed computing, in which a group of computers from multiple locations are connected with each other to achieve a common objective.
Grid Computing is described in terms of discrete computing, wherein a set of computers from different locations are interconnected to achieve a common business task.
With grid computing, groups of independent, modular hardware and software components can be connected and rejoined on demand to meet the changing needs of businesses.
In the grid computing approach, the processing power of many computers, organised as distributed, diverse administrative domains, is opportunistically used whenever a computer is available.