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A Round Robin preemptive scheduling example with quantum=3. Round-robin (RR) is one of the algorithms employed by process and network schedulers in computing. [1] [2] As the term is generally used, time slices (also known as time quanta) [3] are assigned to each process in equal portions and in circular order, handling all processes without priority (also known as cyclic executive).
One common method of logically implementing the fair-share scheduling strategy is to recursively apply the round-robin scheduling strategy at each level of abstraction (processes, users, groups, etc.) The time quantum required by round-robin is arbitrary, as any equal division of time will produce the same results.
This process is termed round robin scheduling or time slicing. The kernel gives control to the next task in line if: The current task has no work to do during its time slice, or; The current task completes before the end of its time slice, or; The time slice ends.
Weighted round robin [1] is a generalisation of round-robin scheduling. It serves a set of queues or tasks. Whereas round-robin cycles over the queues or tasks and gives one service opportunity per cycle, weighted round robin offers to each a fixed number of opportunities, as specified by the configured weight which serves to influence the ...
In weighted round robin scheduling, the fraction of bandwidth used depend on the packet's sizes. Compared with WFQ scheduler that has complexity of O(log(n)) ( n is the number of active flows/queues ), the complexity of DRR is O(1) , if the quantum Q i {\displaystyle Q_{i}} is larger than the maximum packet size of this flow.
Some commonly used RTOS scheduling algorithms are: [5] Cooperative scheduling; Preemptive scheduling. Rate-monotonic scheduling; Round-robin scheduling; Fixed-priority pre-emptive scheduling, an implementation of preemptive time slicing; Fixed-Priority Scheduling with Deferred Preemption; Fixed-Priority Non-preemptive Scheduling
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Generalized processor sharing is a multi-class adaptation of the policy which shares service capacity according to positive weight factors to all non-empty job classes at the node, irrespective of the number of jobs of each class present.