Examples of using Grid computing in English and their translations into Chinese
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Grid computing.
Also, it is closely associated with grid computing.
Thus grid computing provides a multi-user environment.
How it is different from grid computing?
TeraGrid was an e-Science grid computing infrastructure combining resources at eleven partner sites.
Provides an extensive state-of-the-art guide in grid computing.
Grid Computing Planet covers commercial distributed and grid computing projects and organizations.
Back in the day, there was a concept called Grid Computing.
In a grid computing system, networked computers are able to access and use the resources of every other computer on the network.
Oracle Database is the only database designed for grid computing.
We will soon be using grid computing to do pretty much everything, like adjust the data and everything that goes with the data.
In 2003, it took scientists less than six months to identify 45potential treatments to fight smallpox using grid computing.
In the grid computing model, servers or personal computers run independent tasks and are loosely linked by the Internet or low-speed networks.
These architectures and standards, as the reader will soon see,have tremendous influence in the emerging open Grid Computing standards.
The company leverages its vast experience in grid computing, a global data center and enterprise implementation experience to its big data projects.
The other extreme is where a computer job uses one or few nodes, and needs little or no inter-node communication,approaching grid computing.
If the cloud computing system's back end is a grid computing system, customers could take advantage of the entire network's processing power.
Grid computing is designed to solve problems too big for any single supercomputer, whilst retaining the flexibility to work on multiple smaller problems.
When cloud computing system's back end is a grid computing system, customers could make optimum use of the entire network's processing power.
Grid computing has the design goal of solving problems too big for any single supercomputer, whilst retaining the flexibility to work on multiple smaller problems.
In much the same way the Internet changed business forever,virtual service oriented grid computing has the potential to force change once again.
In addition, this chapter discusses Grid Computing disciplines, and the factors developers and service providers must consider during the implementation phases.
In addition,we will see a general-purpose architecture solution for the emerging Grid Computing infrastructure and a road map for Grid Computing technology initiatives.
Clustering is part of grid computing methodology, by which several low-cost commodity hardware components are networked together to achieve increased computing capacity.
Oracle Database 10g was the first database designed for grid computing, the most flexible and cost-effective way to manage enterprise information.
When cloud computing system's back end is a grid computing system, customers could make optimum use of the entire network's processing power.
Oracle Database 10g was the first database designed for grid computing, mainly flexible and cost-effective method to handle enterprise information.
If the cloud computing system's back end is a grid computing system, then the client could take advantage of the entire network's processing power.
Oracle Database 10gis the first database designed for enterprise grid computing, the most flexible and cost effective way to manage information and applications.