Distributed computing is the process of running a single computational task on more than one distinct computer. This differs from cluster computing in that computers in a distributed computing environment are typically not dedicated to distributed computing, whereas clusters are almost always comprised of dedicated hardware. This makes distributed computing very attractive because it can utilize computational resources that would otherwise be unused, or it can make it possible to have resources for special computational purposes shared among users.
Distributed computing works so well because most of today's CPU power is wasted waiting for user input. The client is specially constructed as a low priority process to use only the computing power that would be wasted anyway, which can be well in excess of 90%. However, having a low-priority process constantly running prevents operating systems' idlers from putting the processor into a low-power mode, resulting in increased electricity consumption. On powerful CPUs, the difference can be on the order of tens of Watts.
There are also social factors, for example the "stat race": competing with other people using daily statistics about the amount of work done. This has been found so important that virtually all distributed computing projects offer on-line statistics updated at least daily, if not realtime.
Distributed computing is also an active area of research with abundant literature. The most known distributed computing conferences are The International Conference on Dependable Systems and Networks [1] (http://www.dsn.org/) and the ACM Symposium on Principles of Distributed Computing [2] (http://www.podc.org). Journals include the Journal of Parallel and Distributed Computing [3] (http://www.academicpress.com/jpdc).
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