在多处理器系统中,一个应用所要完成的任务可以分配给同一个处理器处理,也可以分配给多个处理器处理,所以传统的测试方法难以满足多处理器任务调度算法的验证。在此,提出一个基于扩展Büchi自动机的形式化模型,并用该模型来描述多...在多处理器系统中,一个应用所要完成的任务可以分配给同一个处理器处理,也可以分配给多个处理器处理,所以传统的测试方法难以满足多处理器任务调度算法的验证。在此,提出一个基于扩展Büchi自动机的形式化模型,并用该模型来描述多处理器任务调度算法TDS(Task Duplication based Scheduling);用线性时序逻辑描述出算法TDS期望的一些性质;最后在该模型上验证了这些性质。该方法有效地克服了传统测试的局限性,保证了多处理器任务调度的可靠性。展开更多
Maintaining temporal consistency of real-time data is important for cyber-physical systems.Most of the previous studies focus on uniprocessor systems.In this paper,the problem of temporal consistency maintenance on mu...Maintaining temporal consistency of real-time data is important for cyber-physical systems.Most of the previous studies focus on uniprocessor systems.In this paper,the problem of temporal consistency maintenance on multiprocessor platforms with instance skipping was formulated based on the(m,k)-constrained model.A partitioned scheduling method SC-AD was proposed to solve the problem.SC-AD uses a derived sufficient schedulability condition to calculate the initial value of m for each sensor transaction.It then partitions the transactions among the processors in a balanced way.To further reduce the average relative invalid time of real-time data,SC-AD judiciously increases the values of m for transactions assigned to each processor.Experiment results show that SC-AD outperforms the baseline methods in terms of the average relative invalid time and the average valid ratio under different system workloads.展开更多
文摘在多处理器系统中,一个应用所要完成的任务可以分配给同一个处理器处理,也可以分配给多个处理器处理,所以传统的测试方法难以满足多处理器任务调度算法的验证。在此,提出一个基于扩展Büchi自动机的形式化模型,并用该模型来描述多处理器任务调度算法TDS(Task Duplication based Scheduling);用线性时序逻辑描述出算法TDS期望的一些性质;最后在该模型上验证了这些性质。该方法有效地克服了传统测试的局限性,保证了多处理器任务调度的可靠性。
基金Project(2020JJ4032)supported by the Hunan Provincial Natural Science Foundation of China。
文摘Maintaining temporal consistency of real-time data is important for cyber-physical systems.Most of the previous studies focus on uniprocessor systems.In this paper,the problem of temporal consistency maintenance on multiprocessor platforms with instance skipping was formulated based on the(m,k)-constrained model.A partitioned scheduling method SC-AD was proposed to solve the problem.SC-AD uses a derived sufficient schedulability condition to calculate the initial value of m for each sensor transaction.It then partitions the transactions among the processors in a balanced way.To further reduce the average relative invalid time of real-time data,SC-AD judiciously increases the values of m for transactions assigned to each processor.Experiment results show that SC-AD outperforms the baseline methods in terms of the average relative invalid time and the average valid ratio under different system workloads.
