C M Krishna Real Time Systems Pdf
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In the present work we focus on the problem of scheduling priority policies for real-time scheduling under conditions of low-priority fairness. The work is motivated by our experience from several projects. First, we developed a program that allows the implementation of numerous user priority policies in a widely used operating system. We conducted a theoretical study of the performance of these policies, and analyzed their worst-case scheduling behavior. We detected a discrepancy between the performance shown by the theoretical analysis and the actual behavior on a real system. We found that the weakness in the policy implementations stemmed from time-varying changes in the system behavior (for example, due to interrupts) that result in the so called priority inversion problem. Second, we have developed the first scalable real-time software scheduler for multiprocessor systems. We demonstrate the performance of this software scheduler on a real system equipped with two dual-core Opteron processors. The performance of the implemented scheduler was close to that of the Priority-based Fair Coarse Scheduling (PFCS) algorithm, which is known to provide good performance even for time-varying workloads. Third, in our previous work we developed an event-driven architecture that allows the implementation of priority policies in a single-processor system. In that work, we analyzed a large number of priority policies with different assumptions on the event sequence, and showed that the non-preemptive Wait/Sleep/Wake (WS) policy, the non- preemptive WS with preemption (NWS) policy and the WS with preemptive preemption (WS) policy are the only priority policies that provide strict priority fairness. In the present work, we extend this work to show the optimality of these policies in multiprocessor systems. We also propose several scheduling policies that reduce the wastage of processor cycles and thus the total energy spent by the system. These policies involve wake-up and sleep schedules for the processors as well as scheduling policies for the wake-ups. We show through simulation and analysis that these policies offer good performance. We show that the performance of the proposed policies is close to or better than the performance of the WS policy. Last, we propose an aggressive priority policy that attempts to minimize the waiting time of low-priority jobs.
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