Examples of using Grid computing in English and their translations into Vietnamese
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Title: The grid computing and applications.
Also integrated is Xgrid, Apple's grid computing technology.
Grid computing has been around for a few years now and its advantages are many.
It is the first database designed for enterprise grid computing.
Grid computing is the subsequent stage in the development of systems administration.
John Skovron has over twenty years of experienceworking with systems that run mega scale grid computing solutions.
I was familiar with Grid Computing, so I thought it was something similar and left it at that.
Some sources suggest that modern value-added network services shouldbe called"trading grids" due to commonalities with grid computing.
And grid computing is experiencing an upsurge of support from industry heavyweights such as IBM, Sun Microsystems, and Microsoft.
As an important component in the allocating systems such as Grid Computing, load balancing is often used in specialized systems.
An example showing a grid computing system connecting many personal computers over the Internet using inter-process network communication.
Because of the low bandwidth andextremely high latency available on the Internet, grid computing typically deals only with embarrassingly parallel problems.
The other extreme is where a computer job uses one or few nodes, and needs little or no inter-node communication,approaching grid computing.
In 2003, with grid computing, in less than three months scientists identified 44 potential treatments to fight the deadly smallpox disease.
However, since 2000, the idea has resurfaced innew forms(see application service provider, grid computing, and cloud computing). .
Grid computing is a model for allowing companies to use a large number of computing resources on demand, no matter where they are located.
The use of graphics cards(or rather their GPU's)to do calculations for grid computing is vastly more economical than using CPU's, despite being less precise.
He has worked in parallel computing and computer graphics since 1993, with a special focus on parallel programming and debugging,cluster and especially grid computing.
One of the main strategies of grid computing is to use middleware to divide and apportion pieces of a program among several computers, sometimes up to many thousands.
E-Science is computationally intensive science that is carried out in highly distributed network environments,or science that uses immense data sets that require grid computing;
In version 10g, grid computing has introduced shared resources where an instance can use(for example) CPU resources from another node(computer) in the grid. .
Others say that the cloud is the marketing promotion that it puts a new face on the old technology,such as utility computing, grid computing or virtualization.
In the 10g version of the system, Oracle used grid computing, which added shared resources where an instance can use CPU resources from another computer in the grid. .
A toolkit, called Globus, was created to solve these issues, but the infrastructure hardware available still hasnot progressed to a level where true grid computing can be wholly achieved.
To deal with the computing demands of the LHC experiments,particle physicists have created the world's largest Grid computing system, spanning more than 100 institutions in 36 countries and pushing the boundaries of global networking and distributed computing. .
With cloud computing resources, such as servers can be shaped or small cut from background hardware infrastructure and become ready to accomplish the mission,support the environment not the grid computing as three-layer Web running traditional applications or Web 2.0 applications.
This structure means that for large-scale distributed computing, also known as grid computing, the data location is irrelevant and transparent to the user, allowing for a more modular physical structure that can be added to and altered without affecting the activity of the database, its data or users.
With cloud computing resources, such as servers can be shaped or small cut from background hardware infrastructure and become ready to accomplish the mission,support the environment not the grid computing as three-layer Web running traditional applications or Web 2.0 applications.