This vast processing power is made possible though distributed, large-scale cluster computing, often in concert with server virtualization software, like Xen, and parallel processing. Cloud computing can be contrasted with the traditional desktop computing model, where the resources of a single desktop computer are used to complete tasks, and an expansion of the client/server model. To paraphrase Sun Microsystems' famous adage, in cloud computing the network becomes the supercomputer.
Cloud computing is often used to sort through enormous amounts of data. In fact, Google has an initial edge in cloud computing precisely because of its need to produce instant, accurate results for millions of incoming search inquries every day, parsing through the terabytes of Internet data cached on its servers. Google's approach has been to design and manufacture hundreds of thousands of its own servers from commodity components, connecting relatively inexpensive processors in parallel to create an immensely powerful, scalable system.
In many ways, however, cloud computing is simply a buzzword used to repackage grid computing and utility computing, both of which have existed for decades. Like grid computing, cloud computing requires the use of software that can divide and distribute components of a program to thousands of computers. New advances in processors, virtualization technology, disk storage, broadband Internet access and fast, inexpensive servers have all combined to make cloud computing a compelling paradigm. Cloud computing allows users and companies to pay for and use the services and storage that they need, when they need them and, as wireless broadband connection options grow, where they need them. Customers can be billed based upon server
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