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Bounds on the Asymptotic buffer Overflow probabilities of a parallel processing System

机译:并行处理系统的渐近缓冲区溢出概率的界限

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摘要

In queueing systems with heterogneeous processors and multiclass job flows, weighted queue length policies are known to achieve maximal throughput, that is , stabilize the system under the maximum possible arival rates, when the buffers are of infinite capacity. However, very little is known regrding the delay or buffer overflow performance of weighted queue length policies in such queueing systems when the buffers are offinite capacity. In this paper, we consider a time-slotted"fluid" cessors in parallel and two queues with finite capacity buffers. There are two classes of job flows. We present some preliminary results that use techniques of large deviations to derive upper and lower bounds on the asymptotic buffer overflow probabilities under any stabilizing scheduling policy as the capacities of the buffers tend to infinity. the queueing system has applications in a number of wired and wireless telecommunication networks, computer systems, and flexible manufacturing systems.
机译:在具有异常处理器和多字母作业流的排队系统中,已知加权队列长度策略实现最大吞吐量,即在缓冲器具有无限容量时,在最大可能的竞争速率下稳定系统。然而,在缓冲器是脱巢容量的情况下,很少知道在这种排队系统中的加权队列长度策略的延迟或缓冲溢出性能。在本文中,我们考虑了一个并行的时隙“流体”切片体,以及具有有限容量缓冲器的两个队列。有两类工作流程。我们提出了一些初步结果,即在任何稳定调度策略下使用大偏差的技术在渐近缓冲溢流概率下导致上下界限,因为缓冲器的容量倾向于无穷大。排队系统具有多个有线和无线电信网络,计算机系统和灵活的制造系统的应用。

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