Stability of adversarial queues via fluid models

D. Gamarnik
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引用次数: 44

Abstract

The subject of this paper is stability properties of adversarial queueing networks. Such queueing systems are used to model packet switch communication networks, in which packets are generated and routed dynamically, and have become a subject of research focus recently. Adversarial queueing networks are defined to be stable, if the number of packets stays bounded over time. A central question is determining which adversarial queueing networks are stable, when an arbitrary greedy packet routing policy is implemented. In this paper we show how stability of a queueing network can be determined by considering an associated fluid models. Our main result is that the stability of the fluid model implies the stability of an underlying adversarial queueing network. This opens an opportunity for analyzing stability of adversarial networks, using established stability methods from continuous time processes, for example, the method of Lyapunov function or trajectory decomposition. We demonstrate the use of these methods on several examples.
基于流体模型的对抗队列的稳定性
本文的主题是对抗性排队网络的稳定性。在分组交换通信网络中,分组是动态生成和路由的,这种排队系统被用来模拟分组交换通信网络,是近年来研究的热点。对抗性排队网络被定义为稳定的,如果数据包的数量随时间保持有限。一个核心问题是,当实现任意贪婪分组路由策略时,确定哪个对抗性排队网络是稳定的。在本文中,我们展示了如何通过考虑相关的流体模型来确定排队网络的稳定性。我们的主要结果是,流体模型的稳定性意味着潜在的对抗性排队网络的稳定性。这为分析对抗网络的稳定性提供了一个机会,使用从连续时间过程中建立的稳定性方法,例如李雅普诺夫函数或轨迹分解方法。我们通过几个例子来演示这些方法的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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