Describe grid computing and some applications for which it is suitable.
Describe grid computing and some applications for which it is suitable.
Grid Computing:
It is possible to describe Grid Computing as a network of computers working together to perform a task that would be more difficult for a single machine. To behave like a virtual supercomputer, all devices on that network run under the same protocol. Analyzing large datasets or simulating scenarios involving high computing power might be the job they are working on. Network computers connect to the network with resources such as computing power and storage space.
Grid Computing is a subset of distributed computing, where computers on a network connected by a bus, often Ethernet or occasionally the Internet, are composed of a virtual supercomputer. It can also be seen as a type of Parallel Computing, which includes multiple cores spread across different locations instead of several CPU cores on a single computer. The idea of grid computing is not new, but as there are no standard rules and protocols created and embraced by individuals, it is not yet perfected.
Working:
These three kinds of machines consist mainly of a Grid computing network.
Control Node:
A computer, usually a server, or a group of servers that manages the entire network and holds the resource accounts in the network pool.
Provider:
The machine that puts its resources into the pool of network resources.
User:
A machine that uses network resources.
Grid Computing General Applications:
Distributed Supercomputing:
It may sound like a fancy word for distributed supercomputing, but it is really easy to comprehend. Let me say this, supercomputing is distributed to the grid computing network across many geographical areas, including several countries.
High-throughput Supercomputing:
High-performance assignments send their name a little down, don't they? Well, it can be defined by activities in which you need a lot of computing power for a long time.
Time can vary between a few months and years. Super-computing with high performance is also required to carry out these tasks.
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