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Peakedness of stochastic models for high-speed network traffic

机译:高速网络流量的随机模型的峰值

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In networks based on the asynchronous transfer mode (ATM),information is transmitted asynchronously over high-speed links in theform of 53-byte units called cells. Accurate traffic characterization isa crucial step in performing network resource allocation anddimensioning. Peakedness was originally developed by teletrafficengineers as a tool for characterizing call arrival processes at a trunkgroup. We generalize the peakedness theory to include a class ofstochastic models used in studies of high-speed networks and apply it tothe approximate analysis of a statistical multiplexer
机译:在基于异步传输模式(ATM)的网络中, 信息通过网络中的高速链路异步传输 53字节单位的形式称为单元。准确的流量表征是 执行网络资源分配的关键步骤,以及 尺寸标注。高峰度最初是由远程交通开发的 工程师作为表征中继线呼叫到达过程的工具 团体。我们将峰度理论归纳为包括一类 高速网络研究中使用的随机模型并将其应用于 统计多路复用器的近似分析

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