A Real-Time Task Scheduling Algorithm Based on Dynamic Priority
Hui Chen, Jiali Xia
Abstract
Hui Chen, Jiali Xia
Abstract
By studying the dynamic value density and urgency of a task, a preemptive scheduling strategy based on dynamic priority assignment is proposed. In the strategy, two parameters p and q are used to adjust the weight that the value density and urgency of a task impact on its priority, and a parameter beta is used to avoid the possible system thrashing. Finally, the simulations show that our algorithm is prior to the analogous algorithms, such as EDF, HVF and HVDF, on gained-value of the system, deadline miss ratio and preemptive number. .
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By studying the dynamic value density and urgency of a task, a preemptive scheduling strategy based on dynamic priority assignment is proposed. In the strategy, two parameters p and q are used to adjust the weight that the value density and urgency of a task impact on its priority, and a parameter beta is used to avoid the possible system thrashing. Finally, the simulations show that our algorithm is prior to the analogous algorithms, such as EDF, HVF and HVDF, on gained-value of the system, deadline miss ratio and preemptive number. .
Key concepts: Thrashing, Computer science, Dynamic priority scheduling, Earliest deadline first scheduling, Deadline-monotonic scheduling, Priority inversion, Scheduling (production processes), Priority inheritance