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Scheduling sporadic tasks with shared resources in hard-real-timesystems

机译:使用共享资源实时调度零星任务系统

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The problem of scheduling a set of sporadic tasks that share a setof serially reusable, single unit software resources on a singleprocessor is considered. The correctness conditions are that: eachinvocation of each task completes execution at or before a well-defineddeadline; and a resource is never accessed by more than one tasksimultaneously. An optimal online algorithm for scheduling a set ofsporadic tasks is presented. The algorithm results from the integrationof a synchronization scheme for access to shared resources with theearliest deadline first algorithm. A set of relations on task parametersthat are necessary and sufficient for a set of tasks to be schedulableis also derived. The proposed model for the analysis of processorscheduling policies is novel in that it incorporates minimum as well asmaximum processing time requirements of tasks. The scheduling algorithmand the sporadic tasking model have been incorporated into an operatingsystem kernel and used to implement several real-time systems
机译:计划一组共享一组零星任务的问题 单个上可串行重用的单个单元软件资源的集合 考虑处理器。正确性条件是:每个 调用每个任务可在定义明确或定义明确的条件之前完成执行 最后期限;并且一个资源永远不会被多个任务访问 同时。调度一组最优的在线算法 介绍了零星的任务。该算法来自积分 用于访问共享资源的同步方案的说明 最早的截止时间优先算法。一组与任务参数有关的关系 安排一系列任务所必需和充分的 也是派生的。所提出的处理器分析模型 调度策略是新颖的,因为它结合了最小和最小 任务的最大处理时间要求。调度算法 并且零星的任务分配模型已合并到运营中 系统内核,用于实现多个实时系统

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