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The Multi-Resource Server for predictable execution on multi-core platforms

机译:多核平台上可预测执行的多资源服务器

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In this paper we present an implementation and demonstration of the Multi-Resource Server (MRS) which enables predictable execution of real-time applications on multi-core platforms. The MRS provides temporal isolation both between tasks running on the same core, as well as, between tasks running on different cores. The latter could, without MRS, interfere with each other due to contention on a shared memory bus. We demonstrate that MRS can be used to “encapsulate” legacy systems and to give them enough resources to fulfill their purpose. In our case study a legacy media-player is integrated with several resource-hungry tasks running at a different core. We show that without MRS the media-player starts to drop frames due to the interference from other tasks; while introduction of MRS alleviates this problem. Another part of our demonstration shows how traditional periodic real-time tasks can be kept schedulable even when tasks with high memory-demand are added to the system.
机译:在本文中,我们介绍了多资源服务器(MRS)的实现和演示,这使得能够在多核平台上执行可预测的实时应用程序。 MRS在同一核心运行的任务之间提供时间隔离,以及在不同核心上运行的任务之间的任务之间。由于在共享内存总线上的争用,后者可以在没有MRS的情况下互相干扰。我们证明MRS可以用来“封装”遗留系统,并为他们提供足够的资源来实现他们的目的。在我们的案例中,研究旧版媒体播放器与在不同核心运行的多个资源饥饿任务集成。我们表明,如果没有MRS,媒体播放器因来自其他任务的干扰而开始丢弃帧;虽然介绍夫人减轻了这个问题。我们的示范的另一部分表明,即使在系统中添加了具有高内存需求的任务,如何将传统的定期实时任务保持可定期的定期任务。

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