Modeling Traffic Processes of Communications and Manufacturing Systems

9622426约翰逊 该研究涉及开发精确的交通过程模型，用于设计和操作通信和制造系统。 通常的假设，使模型分析处理，如泊松流一般不足以捕捉这些应用中的真实的交通过程的复杂性质。 需要一种方法来识别交通过程描述符，以获得准确的性能测量从建模模型。 一旦定义了适当的描述符，就必须开发适当的建模模型。 流量突发性是一个很有前途的描述，需要对其进行量化研究，然后，必须开发合适的突发性模型来反映量化的突发性描述。 在通信和制造业中找到更真实的业务过程的描述方法，将对这些关键系统的设计和运行产生不可估量的影响。 这项研究，在结合过程描述符的发展和嵌入式模型的发展，是一个健全的方法，应产生有益的结果，朝着这一目标，并增加了在这些领域的嵌入式模型的理论。

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.