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An M/G/1 Queuing System with Multiple Vacations to Assess the Performance of a Simplified Deficit Round Robin Model

机译:具有多个休假的M / G / 1排队系统,用于评估简化赤字循环模型的性能

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摘要

Deficit Round-Robin (DRR) is a packet scheduling algorithmdevised for providing fair queuing in the presence of variable lengthpackets. Upper bounds on the buffer occupancy and scheduling delay ofa leaky bucket regulated flow have been proved to hold under DRR.However, performance bounds are important for real-time traffic suchas video or voice, whereas regarding data traffic average performanceindices are meaningful in most of the cases. In this paper we proposeand solve a specific worst-case model that enables us to calculatequantiles of the queue length distribution at any time (and henceaverage delays) as a function of the offered load, when the arrivalprocess is Poissonian. The model proposed is a discrete time discretestate Markov chain of M/G/1-Type, and hence we used the matrixanalytic methodology to solve it. The structure of the blocks belongingto the transition probability matrix is fully exploited. As a result of theabove exploitation an effective algorithm for computing the matrix Gis proposed. The algorithm consists in diagonalizing suitable matrixfunctions by means of Discrete Fourier Transform and in applyingNewton’s method.
机译:赤字循环(DRR)是一种数据包调度算法,旨在在存在可变长度数据包的情况下提供公平排队。在DRR下,泄漏桶调节流的缓冲区占用率和调度延迟的上限已得到证明,但性能界限对于视频或语音等实时流量很重要,而对于数据流量,平均性能指标在大多数情况下都有意义。案件。在本文中,我们提出并解决了一个特定的最坏情况模型,该模型使我们能够在到达过程为Poissonian的情况下,根据提供的负载,随时计算队列长度分布的分位数(以及平均延迟)。所提出的模型是M / G / 1-Type的离散时间离散状态马尔可夫链,因此我们使用矩阵分析方法对其进行求解。充分利用了属于转移概率矩阵的块的结构。作为上述开发的结果,提出了一种用于计算矩阵Gis的有效算法。该算法包括通过离散傅立叶变换对角合适的矩阵函数,以及应用牛顿法。

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