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Partitioning Real-Time Systems on Multiprocessors with Shared Resources

机译:在具有共享资源的多处理器上对实时系统进行分区

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In this paper we propose a blocking-aware partitioning algorithm which allocates a task set on a multiprocessor (multi-core) platform in a way that the overall amount of blocking times of tasks are decreased. The algorithm reduces the total utilization which, in turn, has the potential to decrease the total number of required processors (cores). In this paper we evaluate our algorithm and compare it with an existing similar algorithm. The comparison criteria includes both number of schedulable systems as well as processor reduction performance.
机译:在本文中,我们提出了一种可感知阻塞的分区算法,该算法以减少任务的总阻塞时间的方式在多处理器(多核)平台上分配任务集。该算法降低了总利用率,进而有可能减少所需处理器(核心)的总数。在本文中,我们评估了我们的算法,并将其与现有的类似算法进行了比较。比较标准包括可调度系统的数量以及处理器减少的性能。

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