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A scheduling discipline (also called scheduling policy or scheduling algorithm) is an algorithm used for distributing resources among parties which simultaneously and asynchronously request them.

Multilevel feedback queue in computer science, a multilevel feedback queue is a scheduling algorithm Scheduling algorithms are designed to have some process running at all times to keep the central processing unit (cpu) busy [1] the multilevel feedback queue extends standard algorithms with the following design requirements: [5] originally invented for packet networks, fair queuing had been previously applied to cpu scheduling under the name stride scheduling. Optimal job scheduling is a class of optimization problems related to scheduling The inputs to such problems are a list of jobs (also called processes or tasks) and a list of machines (also called processors or workers).

Gang scheduling in computer science, gang scheduling is a scheduling algorithm for parallel systems that schedules related threads or processes to run simultaneously on different processors. For optimization problems related to scheduling, see category:optimal scheduling.

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