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Stochastic ordering properties and optimal routing control for a class of finite capacity queueing systems

机译:一类有限能力排队系统的随机订购特性和最优路由控制

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The problem of routing jobs to parallel queues with identical exponential servers and unequal finite buffer capacities is considered. Stochastic ordering and weak majorization properties on critical performance measures are established by means of event-driven inductions. In particular, it is shown that the intuitive 'join the shortest nonfull queue' policy is optimal with respect to an overall function that accounts for holding and blocking costs. Moreover, the buffer allocation problem is solved by proving the intuitive result that, for a fixed total buffer capacity, the optimal allocation scheme is the one in which the difference between the maximum and minimum queue capacities is minimized, i.e., becomes either 0 or 1.
机译:考虑将作业路由到具有相同指数服务器和不等的有限缓冲容量的并行队列的问题。通过事件驱动的诱导建立了对关键性能措施的随机订购和弱大大属性。特别地,表明直观的'加入最短的非填充队列策略是关于占据持有和阻塞成本的整体函数的最佳功能。此外,通过证明固定总缓冲容量的直观结果来解决缓冲区分配问题,最佳分配方案是最大化和最小队列容量之间的差异最小化的,即变为0或1 。

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