Stochastic Network Processes

随机网络过程

• 批准号: 9007532
• 负责人: Richard Serfozo
• 金额: $ 13万
• 依托单位: Georgia Tech Research Corporation - GA Tech Research Institute
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1990
• 资助国家: 美国
• 起止时间: 1990-09-01 至 1993-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9007532&HistoricalAwards=false
• 关键词: Stochastic; Network; Processes

This research is concerned with describing the movement of discrete units in stochastic networks. There is a small class of queueing networks which can presently be solved analytically. These are Markovian and have product form solutions. Extension to this class will be made by considering "partially balanced" networks, which allow for dependencies among nodes and routes (so called intelligent networks). The results of this research will be very important both for the theory and the applications of queueing networks.

本研究旨在描述 随机网络中的离散单元 有一个小类， 目前可以用解析法求解的混沌网络。 这些是马尔可夫的，有产品形式的解决方案。 延伸 将通过考虑“部分平衡”来进行 网络，它允许节点和路由之间的依赖关系（因此 称为智能网络）。 这项研究的结果将是非常重要的， 嵌入式网络的理论与应用。