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首页> 外文期刊>Mathematical Problems in Engineering >The Single-Server Queue with the Dropping Function and Infinite Buffer
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The Single-Server Queue with the Dropping Function and Infinite Buffer

机译:具有删除功能和无限缓冲区的单服务器队列

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We present an analysis of queues with the dropping function and infinite buffer. In such queues, the arriving packet (job, customer, etc.) can be dropped with the probability which is a function of the queue size. Currently, the main application area of the dropping function is active queue management in routers, but it is applicable also in many other queueing systems. So far, queues with the dropping function have been analyzed with finite buffers only, which led to complicated, computationally demanding formulas. Assuming infinite buffers enabled us herein to obtain formulas in compact, easy to use forms. Moreover, a model with the infinite buffer can often be used as a good approximation of the real queue, in which the buffer is large. We start with noticing that the classic stability condition, rho < 1, cannot be used for queues with the dropping function and infinite buffer. For this reason, we prove a few new, easy to use conditions, which guarantee system stability or instability. Then we prove several theorems on popular performance characteristics, including the queue size, busy period, loss ratio, output rate, and system response time. Additionally, we derive a special, very important characteristic called the burst ratio, which may influence severely the quality of real-time multimedia transmissions. All the theorems are illustrated with numerical examples, demonstrating in particular how the system stability may be tested and how the shape of the dropping function may affect different performance characteristics.
机译:我们对具有丢弃功能和无限缓冲区的队列进行了分析。在这种队列中,到达的数据包(工作,客户等)可以被丢弃,该概率是队列大小的函数。当前,丢弃功能的主要应用领域是路由器中的主动队列管理,但它也适用于许多其他排队系统。到目前为止,仅使用有限缓冲区来分析具有丢弃功能的队列,这导致了复杂且计算量大的公式。假设无限的缓冲区使我们能够以紧凑,易于使用的形式获得公式。此外,具有无限缓冲区的模型通常可以用作缓冲区较大的真实队列的良好近似。我们首先注意到经典的稳定条件rho <1不能用于具有dropping函数和无限缓冲区的队列。因此,我们证明了一些新的,易于使用的条件,这些条件可以保证系统的稳定性或不稳定性。然后,我们针对流行的性能特征证明了几个定理,包括队列大小,繁忙时段,丢失率,输出率和系统响应时间。此外,我们得出了一个特殊的,非常重要的特性,称为突发比率,它可能会严重影响实时多媒体传输的质量。所有定理均通过数值示例进行说明,特别说明了如何测试系统稳定性以及下降函数的形状如何影响不同的性能特征。

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