Q. To distribute processing over many nodes, perhaps to increase result speed through the use of concurrences, perhaps merely to provide load balance and fault tolerance.

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Q. GridGain is an implementation of a processing grid.

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Q. There are many data grids, such as :-

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Q. Map/reduce is a pattern that was popularized by Google, and it comes from functional programming languages, which often have:-

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Q. To quickly grid-enable a method on a bean using GridGain.

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Q. GridGain provides:-

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Q. To build a parallelized solution for a problem that’s intrinsically better-suited to parallelization or that, for want of resources, needs to be chunked.

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Q. GridGain works with a GridTask, which specifies how to handle the main unit of work of the interface type:-

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Q. When you call the method on the service with the @Gridify annotation pointing to this GridTask implementation, it stops execution of method and loads an instance of this implementation.

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Q. When using GridGain stem mostly from the fact that what you develop on one node can’t always automatically work on another node with no additional configuration.

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Q. GridGain lets you start up nodes using the startup script in the:-

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Q. To hoist a grid node into existence.

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Q. When you use the script that comes with the distribution is the class:-

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Q. A GridLoader instance is responsible for many things such as:-

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Q. GridFactory.start can take as its first parameter a:-

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Q. The file which enables you to tell GridGain about which GridTask classes are deployed:-

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Q. Instances of the ApplicationContext can be injected into the various GridGain class instances (GridTask, GridJob, and so forth) using GridGain:-

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Q. This is the default implementation. It is used when you run gridgain.sh or gridgain.bat.

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Q. This is likely the second most useful implementation. It provides a servlet that bootstraps the GridGain instance inside any web container as a servlet.

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Q. A workflow system extricates that process state from the domain and into a separate layer, called a business process.

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