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Fault-tolerant Scheduling in Distributed Real-time Systems

机译:分布式实时系统中的容错调度

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In distributed systems, a real-time task has several sub-tasks which need to be executed at different nodes. Some of these subtasks can be executed in parallel on different nodes without violating their precedence relationships, if any, among them. To better exploit the parallelism, it becomes necessary to assign separate deadlines to sub-tasks and schedule them independently. We use three sub-task deadline assignment policies which we have introduced earlier, [7] to develop a bidding-based fault-tolerant scheduling algorithm for distributed real-time systems. A local scheduler which resides on each node, tries to determine a schedule for each subtask according to the primary-backup approach. In this paper we discuss the algorithm and present the results of simulation studies conducted to establish the efficacy of our algorithm.
机译:在分布式系统中,实时任务具有多个子任务,这些子任务需要在不同的节点上执行。这些子任务中的一些可以在不同节点上并行执行,而不会违反它们之间的优先级关系(如果有)。为了更好地利用并行性,有必要为子任务分配单独的截止日期并独立调度它们。我们使用前面已经介绍过的三个子任务截止期限分配策略,[7]来为分布式实时系统开发基于出价的容错调度算法。驻留在每个节点上的本地调度程序会尝试根据主备份方法为每个子任务确定调度。在本文中,我们讨论了该算法,并介绍了为确定算法有效性而进行的仿真研究的结果。

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