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Analysis of flow enforcement algorithm for bursty traffic in ATM networks

机译:ATM网络中突发流量的流强制算法分析

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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(用于宽带数据包交换)中突发流量的流量执行算法。流强制执行算法有两个目标:强制输入流量符合由源自身在其连接时指定的流量参数;并且通过在某种程度上调节流量来在单元多路复用器处获得更大的性能增益。作者揭示了细胞流量调节水平与链路性能改善之间的权衡关系。作者首先分析了流量执行机制,以得出流量执行器上的单元的延迟分布和行间时间分布。对于输入话务量,它们允许像元的一般独立到达来表示比Poisson分布更大的话务量突发性。然后,从流增强器获得的出发时间间隔用于近似分析信元多路复用器的性能。为此,扩展了马尔可夫调制泊松过程(MMPP)近似方法,以研究叠加的到达交通流中各个交通流的性能。

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