Models and Algorithms for Fairness and Priority in Scheduling

In this thesis we address the problem of fair and priority scheduling. We focus our attention on systems characterized by an infinite computation, a discrete decomposition of tasks into atomic operation and a known-a-priori set of precedence-constraints among the activities to be performed. We analyze two fairness and two priority specifications related to the frequency of occurrence of activities. We solve the scheduling problem both when the scheduler has complete control upon the system's execution and when the environment can influence the outcome of a scheduling plan.