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Analysis of flow enforcement algorithm for bursty traffic in ATM networks

机译:ATM网络中爆发流量的流动执行算法分析

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The authors analyze the flow enforcement algorithm suitable for regulating the flow of the bursty traffic in asynchronous transfer mode (ATM) networks (for broadband packet switching). The flow enforcement algorithm has two objectives: to force the input traffic to conform to the traffic parameters which are specified by the source itself at its connection time; and to obtain greater performance gain at the cell multiplexer by regulating the flow to some extent. The authors reveal the tradeoff relationship between the regulation level of the cell flow and the improvement of the link performance. The authors first analyze the flow enforcement mechanism to derive the delay distribution and the interdeparture time distribution for cells at the flow enforcer. For the input traffic, they allow the general independent arrivals of cells to represent the traffic burstiness larger than a Poisson distribution. The obtained interdeparture time distributions from the flow enforcer are then used to approximately analyze the performance of the cell multiplexer. For this purpose, a Markov-modulated Poisson process (MMPP) approximation method is extended to investigate the performance of individual traffic stream in the superposed arriving traffic streams.
机译:作者分析了适用于调节异步传输模式(ATM)网络(用于宽带分组交换)中突发流量的流量的流动实施算法。流动实施算法有两个目标:强制输入流量符合源本身在其连接时间下指定的流量参数;并通过在一定程度上调节流量来获得细胞多路复用器的更大性能增益。作者揭示了细胞流的调控水平与链接性能的改善之间的权衡关系。作者首先分析了流动实施机制,以导出流动冲裁人员在电池中的延迟分布和互补时间分布。对于输入流量,它们允许细胞的一般独立到达,以代表大于泊松分布的流量突发。然后,使用来自流动式切换器的获得的间隔时间分布到大致分析细胞多路复用器的性能。为此目的,扩展了马尔可夫调制的泊松过程(MMPP)近似方法,以研究叠加到达交通流量中各个业务流的性能。

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