Processor sharing or egalitarian processor sharing is a service policy where the customers, clients or jobs are all served simultaneously, each receiving an equal fraction of the service capacity available. In such a system all jobs start service immediately (there is no queueing).
Discriminatory processor sharing
Discriminatory processor sharing is a multi-class adaptation of the policy where jobs are assigned classes and each class assigned a positive weighting factor. Service capacity is split between all the jobs present according to their service weights. If all the class weights are equal then DPS is the same as PS. The model was first proposed by Leonard Kleinrock and called priority processor sharing.
Generalized processor sharing
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. Often it is assumed that the jobs within a class form a queue and that queue is served on a first-come, first-served basis, but this assumption is not necessary for many GPS applications.
In processor scheduling, generalized processor sharing is "an idealized scheduling algorithm that achieves perfect fairness. All practical schedulers approximate GPS and use it as a reference to measure fairness."
Multilevel processor sharing
In multilevel processor sharing a finite set of thresholds are defined and jobs partitioned according to how much service they have received. The lowest level (containing jobs which have received the least service) has the highest priority and higher levels monotonically decreasing priorities. Within each level an internal discipline is used.
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