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Optimal scheduling of cooperative tasks in a distributed system using an enumerative method

机译:使用枚举方法的分布式系统中协作任务的最佳调度

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Preemptive (resume) scheduling of cooperative tasks that have been preassigned to a set of processing nodes in a distributed system, when each task is assumed to consist of several modules is discussed. During the course of their execution, the tasks communicate with each other to collectively accomplish a common goal. Such intertask communications lead to precedence constraints between the modules of different tasks. The objective of this scheduling is to minimize the maximum normalized task response time, called the system hazard. Real-time tasks and the precedence constraints among them are expressed in a PERT/CPM form with activity on arc (AOA), called the task graph (TG), in which the dominance relationship between simultaneously schedulable modules is derived and used to reduce the size of the set of active schedules to be searched for an optimal schedule. Lower-bound costs are estimated, and are used to bound the search. An example of the task scheduling problem and some computational experiences are presented.
机译:当假定每个任务由几个模块组成时,将讨论已预先分配给分布式系统中一组处理节点的协作任务的抢占(恢复)调度。在执行任务的过程中,这些任务相互通信以共同实现一个共同的目标。这种任务间通信导致不同任务的模块之间的优先约束。这种调度的目的是最大程度地减少标准化任务的最大响应时间,即系统危害。实时任务及其间的优先约束以具有任务活动性(PERA)的PERT / CPM形式表示,称为任务图(TG),其中导出了可同时调度的模块之间的优势关系,并将其用于减少任务要搜索最佳时间表的活动时间表集的大小。下限成本是估算值,用于约束搜索。给出了任务调度问题的示例以及一些计算经验。

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