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Exact Worst-Case Delay in FIFO-Multiplexing Feed-Forward Networks

机译:FIFO多路复用前馈网络中的最坏情况延迟

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In this paper, we compute the actual worst-case end-to-end delay for a flow in a feed-forward network of first-in–first-out (FIFO)-multiplexing service curve nodes, where flows are shaped by piecewise-affine concave arrival curves, and service curves are piecewise affine and convex. We show that the worst-case delay problem can be formulated as a mixed integer linear programming problem, whose size grows exponentially with the number of nodes involved. Furthermore, we present approximate solution schemes to find upper and lower delay bounds on the worst-case delay. Both only require to solve just one linear programming problem and yield bounds that are generally more accurate than those found in the previous work, which are computed under more restrictive assumptions.
机译:在本文中,我们计算先进先出(FIFO)多路复用服务曲线节点的前馈网络中流的实际最坏情况的端到端延迟,其中流由分段式整形。仿射凹到达曲线,服务曲线是分段仿射和凸曲线。我们表明,最坏情况下的延迟问题可以表述为混合整数线性规划问题,其大小随着所涉及节点的数量呈指数增长。此外,我们提出了近似的解决方案,以找到最坏情况下的延迟的上限和下限。两者都只需要解决一个线性规划问题,并且产生的范围通常比以前工作中发现的范围更精确,后者是在更严格的假设下计算的。

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