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Stochastic model for cell movement in a knockout switch in computer networks

机译:计算机网络中的基因剔除开关中细胞运动的随机模型

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In computer networks, switching is used as a juncture to provide a path to a message to pass on. The knockout switch is a specially designed architecture having equal number of input and output lines. An input cell, in this switch, passes through several stages like filters, concentrators and shifters (or queue). The cell may be under unicasting or multicasting depending upon the number of tokens of output lines allotted. This paper considers the random movement of a cell, inside the design of knockout switch, up to the output line. A Markov chain model is proposed to explain the transitions on various states of filter, concentrator and shifter. The outgoing probability is computed using the number of transitions performed by the cell. Several theorems and corollaries are derived for explaining the behavior of the cell movement. The expected number of transitions are computed keeping various situational constraints. A simulation study is performed to support the derived theorems under the model.
机译:在计算机网络中,交换被用作提供消息传递路径的关口。敲除开关是经过特殊设计的架构,具有相等数量的输入和输出线。在此开关中,输入像元经过多个阶段,如滤波器,集中器和移位器(或队列)。该小区可以处于单播或多播状态,这取决于分配的输出线的令牌数。本文在敲除开关的设计内部考虑了单元的随机运动,直至输出线。提出了马尔可夫链模型来解释滤波器,集中器和移位器在各种状态下的转换。使用单元执行的转换次数计算传出概率。推导了几个定理和推论来解释细胞运动的行为。计算预期的过渡次数,并保持各种情况的约束。进行仿真研究以支持模型下的推导定理。

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