Queueing Models and Stability of Message Flows in Distributed Simulators of Open Queueing Networks

Manish Gupta, Anurag Kumar, R. Shorey
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引用次数: 6

Abstract

In this paper we study message flow processes in distributed simulators of open queueing networks. We develop and study queueing models for distributed simulators with maximum lookahead sequencing. We characterize the "external'' arrival process, and the message feedback process in the simulator of a simple queueing network with feedback. We show that a certain "natural'' modelling construct for the arrival process is exactly correct, whereas an ``obvious'' model for the feedback process is wrong; we then show how to develop the correct model. Our analysis throws light on the stability of distributed simulators of queueing networks with feedback. We show how the stability of such simulators depends on the parameters of the queueing network.
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开放排队网络分布式仿真器中的排队模型与消息流稳定性
本文研究了分布式开放排队网络仿真器中的消息流过程。建立并研究了具有最大前瞻排序的分布式仿真器的排队模型。我们描述了一个具有反馈的简单排队网络模拟器中的“外部”到达过程和消息反馈过程。我们证明了到达过程的某种“自然”建模结构是完全正确的,而反馈过程的“明显”模型是错误的;然后我们将展示如何开发正确的模型。我们的分析揭示了具有反馈的分布式排队网络模拟器的稳定性。我们展示了这种模拟器的稳定性如何依赖于排队网络的参数。
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