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Nearly Poisson transfer traffic in real-time networks

机译:实时网络中的几乎Poisson传输流量

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Consideration is given to a homogeneous distributed network of nodes with a quasi-dynamic random task-sharing discipline and identical Poisson hard real-time traffic at each node. The task-sharing discipline under consideration permits tasks to be shared randomly around the network as long as remaining task laxity permits. Analysis of task loss in such a network requires the assumption that the transferred task stream from all nodes form a Poisson stream. The authors study the requirements for such an assumption to be justified by using computer simulation to examine transferred traffic for both independence and its fit to an exponential distribution as a function of network size. A rough rule of thumb for estimating independence is to assume the transfers are independent after the system size exceeds the average number of transfers between nodes.
机译:考虑了一个具有准动态随机任务共享纪律和每个节点上相同的Poisson硬实时流量的节点的同构分布式网络。正在考虑的任务共享原则允许任务在剩余任务宽松的情况下在网络上随机共享。在这样的网络中对任务丢失进行分析需要假设来自所有节点的已传输任务流形成一个泊松流。作者研究了通过使用计算机模拟来检查传输流量的独立性及其与网络规模的函数关系对指数分布的适应性来证明这一假设的合理性。估计独立性的粗略经验法则是假设系统大小超过节点之间的平均传输数后,传输是独立的。

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