What is difference between grid and cloud computing?
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Grid computing is a loose network of computers that can be called into service for a large-scale processing task. This network is over the Internet, but only computers that have opted into the grid are called upon. Although distributed geographically, grid computing allows for parallel processing on a massive scale. In short, grid computing is what you want when you have a big processing job to tackle. Search for Extraterrestrial Intelligence (SETI), for example, uses a grid computing scheme to analyze radio frequency data, taking advantage of volunteers’ idle processing power.
Cloud computing, in contrast, usually involves accessing resources on an as-needed basis from clusters of servers. These clusters can handle large processing loads, but they are intended to provide scalable processing to users on a smaller scale. Instead of handling one huge task from a single user, cloud computing handles many smaller requests from multiple users. This allows the users to scale up their computer resources for a temporary processing spike without investing in actual servers, which may be recruited only rarely.
Cloud computing, in contrast, usually involves accessing resources on an as-needed basis from clusters of servers. These clusters can handle large processing loads, but they are intended to provide scalable processing to users on a smaller scale. Instead of handling one huge task from a single user, cloud computing handles many smaller requests from multiple users. This allows the users to scale up their computer resources for a temporary processing spike without investing in actual servers, which may be recruited only rarely.
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