Research on Service Systems with Bursty Arrivals

本文研究了马尔可夫调制泊松过程中概率模型的逼近、自适应和优化问题。这些问题将根据若干标准加以审查，每一个标准都要求确定和保存点过程的基本物理特征。研究结果在通信工程中具有一定的应用价值。Marcel Neuts在计算概率方面是世界知名的，他和他年轻能干的同事一起非常有能力进行研究。该团队应该为电信系统建模提供领先的开发。亚利桑那大学是研究工程随机建模的良好环境。

The proposed research deals with problems related to the approximation, adaptation and optimization of probability models involving the Markov-Modulated Poisson Process. These problems will be examined under several criteria, each of which calls for the identification and preservation of essential physical features of the point process. The results have applications in communications engineering. Marcel Neuts is world renowned in computational probability and is very capable of carrying out the research along with his young capable associate. The team should produce leading developments for modeling telecommunication systems. The University of Arizona is an excellent environment for research in stochastic modeling in engineering.