Modeling Traffic Processes of Communications and Manufacturing Systems

这项研究包括在设计和操作通信和制造系统的排队模型中开发准确的交通过程模型。通常用于使模型易于分析处理的假设，如泊松流，通常不足以捕捉这些应用程序中真实交通过程的复杂性。需要一种方法来识别流量-进程描述符，以便从排队模型中获得准确的性能度量。一旦定义了足够的描述符，就必须开发合适的排队模型。其中一个很有前途的描述是交通突发，需要研究努力来量化它。然后，必须建立适当的排队模型来反映量化的突发描述符。在通信和制造业中找到更真实的交通过程排队表示，将为这些关键系统的设计和操作增加不可估量的价值。本研究将进程描述符的开发与排队模型的开发相结合，为实现这一目标提供了有益的结果，并为这些领域的排队模型理论提供了补充。

9622426 Johnson The research involves developing accurate models of traffic processes in queueing models for designing and operating communications and manufacturing systems. The usual assumptions for making the models analytically tractable such as Poissonian flow is generally not adequate to capture the complex nature of real traffic processes in these applications. A methodology is needed for identifying traffic-process descriptors for gaining accurate performance measures from the queueing models. Once adequate descriptors are defined, appropriate queueing models must be developed. One such promising descriptor is traffic burstiness and research effort is required to quantify it. Then, appropriate queueing models must be developed to reflect the quantified burstiness descriptor. Finding more realistic queueing representations of traffic process in communications and manufacturing would add immeasurable to the design and operation of these crucial systems. This research, in combining process descriptor development with queueing model development, is a sound approach which should produce useful results toward this end and add to the theory of queueing models in these areas.