Dominance and Performance of Real-time Scheduling Algorithms on Multiprocessors
Minkyu Park, Sangchul Han, Heeheon Kim, Seong-je Cho, Yookun Cho
Abstract
Minkyu Park, Sangchul Han, Heeheon Kim, Seong-je Cho, Yookun Cho
Abstract
Multiprocessor architecture becomes increasingly common on real-time systems as computer hardware technology rapidly progresses and the workload of real-time systems increases. However, efficient solutions for many real-time multiprocessor scheduling problems are not known. Hence many researchers apply uniprocessor scheduling algorithms to multiprocessor scheduling or devise new algorithms based on these algorithms. Such algorithms are EDF (Earliest Deadline First), LLF (Least Laxity First), EDF-US[m/(2m-1)], and EDZL (Earliest Deadline Zero Laxity), and comparative studies on them are necessary. In this paper, we show the dominance relation of these algorithms with respect to schedulability, and we prove EDZL strictly dominates EDF. The simulation results show that EDZL has high processor utilization and it causes a small number of preemptions.
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Multiprocessor architecture becomes increasingly common on real-time systems as computer hardware technology rapidly progresses and the workload of real-time systems increases. However, efficient solutions for many real-time multiprocessor scheduling problems are not known. Hence many researchers apply uniprocessor scheduling algorithms to multiprocessor scheduling or devise new algorithms based on these algorithms. Such algorithms are EDF (Earliest Deadline First), LLF (Least Laxity First), EDF-US[m/(2m-1)], and EDZL (Earliest Deadline Zero Laxity), and comparative studies on them are necessary. In this paper, we show the dominance relation of these algorithms with respect to schedulability, and we prove EDZL strictly dominates EDF. The simulation results show that EDZL has high processor utilization and it causes a small number of preemptions.
Key concepts: Uniprocessor system, Computer science, Multiprocessing, Multiprocessor scheduling, Parallel computing, Scheduling (production processes), Earliest deadline first scheduling, Workload