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Efficient Buffer Capacity and Scheduler Setting Computation for Soft Real-Time Stream Processing Applications

机译:用于软实时流处理应用程序的有效缓冲区容量和调度程序设置计算

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摘要

Soft real-time applications that process data streams can often be intuitively described as dataflow process networks. In this paper we present a novel analysis technique to compute conservative estimates of the required buffer capacities in such process networks. With the same analysis technique scheduler settings can be verified. Unlike many other soft real-time analysis techniques, it is guaranteed that the desired throughput is obtained for the input stream that is used to characterize the application. Experiments with artificial test-cases indicate that the computed FIFO capacities become more conservative if the desired throughput gets closer to the maximum throughput. The run-time of our algorithm for an H263 video decoder test-case was 14 seconds.
机译:处理数据流的软实时应用程序通常可以直观地描述为数据流处理网络。在本文中,我们提出了一种新颖的分析技术来计算此类过程网络中所需缓冲区容量的保守估计。使用相同的分析技术,可以验证调度程序设置。与许多其他软实时分析技术不同,可以确保为用于表征应用程序的输入流获得所需的吞吐量。人工测试用例的实验表明,如果所需吞吐量接近最大吞吐量,则计算的FIFO容量将变得更加保守。在H263视频解码器测试用例中,我们的算法的运行时间为14秒。

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