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Networks of ·/G/∞ queues with shot-noise-driven arrival intensities

机译:·/ G /∞排队网络,具有散粒噪声驱动的到达强度

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We study infinite-server queues in which the arrival process is a Cox process (or doubly stochastic Poisson process), of which the arrival rate is given by a shot-noise process. A shot-noise rate emerges naturally in cases where the arrival rate tends to exhibit sudden increases (or shots) at random epochs, after which the rate is inclined to revert to lower values. Exponential decay of the shot noise is assumed, so that the queueing systems are amenable to analysis. In particular, we perform transient analysis on the number of jobs in the queue jointly with the value of the driving shot-noise process. Additionally, we derive heavy-traffic asymptotics for the number of jobs in the system by using a linear scaling of the shot intensity. First we focus on a one-dimensional setting in which there is a single infinite-server queue, which we then extend to a network setting.
机译:我们研究了无限服务器队列,其中到达过程是Cox过程(或双重随机Poisson过程),其到达率由散粒噪声过程给出。在到达率趋于在随机时期突然呈现出突然增加(或发声)的情况下,自然会产生散粒噪声率,此后该速率倾向于恢复为较低的值。假设散粒噪声呈指数衰减,因此排队系统易于分析。特别是,我们对行进中的作业数量以及驾驶声噪处理的值进行瞬态分析。此外,我们通过使用射击强度的线性比例来得出系统中作业数量的重交通渐近性。首先,我们关注一维设置,其中只有一个无限服务器队列,然后将其扩展到网络设置。

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