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As a simple example of this power, it is possible to have a distributed system with multiple file servers, one supporting MS-DOS file service and another supporting UNIX file service. Individual programs can use either or both, if they choose. In contrast, with a monolithic kernel, the file system is built into the kernel, and …

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Despite these potential problems, many people feel that the advantages outweigh the disadvantages, and it is expected that distributed systems will become increasingly important in the coming years. In fact, it is likely that within a few years, most organizations will connect most of their computers into large distributed systems to provide better, cheaper, and …

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ItemDescriptionData sharingAllow many users access to a common data baseDevice sharingAllow many users to share expensive peripherals like color printersCommunicationMake human-to-human communication easier, for example, by electronic mailFlexibilitySpread the workload over the available machines in the most cost effective way. Next, the parameters are converted to the appropriate format and inserted into the message buffer, …

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If you’re a scientist or engineer, machine learning is a powerful armory that you don’t want to be without. The old, tried-and-true statistical tools don’t get you far in the age of big (or even medium) data. You need machine learning’s nonlinear chops to accurately model most phenomena, and it brings with it a new …

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After a point, there just aren’t enough programmers and consultants to do all that’s needed, and the company inevitably turns to machine learning. Amazon can’t neatly encode the tastes of all its customers in a computer program, and Facebook doesn’t know how to write a program that will choose the best updates to show to …

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