CAREER: Regulation of Packet-Switched Networks: Stochastic Optimal Control Models and Computational Methods

9875688补丁网络研究界最近对提供差异化服务类型的可能性很感兴趣，这种服务类型可以动态定价，以促进网络资源的有利消耗。人们普遍猜测，定价可以作为拥塞控制(分组监管)的一种手段，也可以作为基础设施提供商收回成本的一种手段，但还远未明确。这项工作将探索前面的断言。目前用于控制分组流的机制，虽然经常被困难的工程分析证明是正确的，但在某种意义上是特别的，因为它们不被认为是随机最优控制问题的解决方案。基于学习IS的机制在应对和区分服务方面可能很有用。该方案的研究目标有两个：1.发展基于随机最优控制的分组调节技术机制，并通过数学和计算分析建立这一观点在组网中的普遍适用性。为了减少计算复杂性在解决真实世界随机最优控制问题中的影响，并促进基于实用学习的计算方法的发展。提供一个工具，让本科生和研究生学习一般的研究方法：建模、优化、分析和设计；以及特定的技术专长：随机最优控制、计算方法和数据通信的前沿，以及2。向包括电信业在内的尽可能广泛的受众传播拟议研究的结果。*

9875688PatekThe networking research community has recently become intrigued with the possibility of offer-ing differentiated service types which are dynamically priced to enc~6rage favorable consumption of network resources. It is widely speculated but far from clear that pricing can serve as a means of congestion control (packet regulation) as well as a means of cost recovery for infrastructure providers. This work will explore the former assertion. Current mechanisms for the control of packet flows, while often justified by hard engineering anal-ysis, are ad hoc in the sense that they are not conceived as solutions to stochastic optimal control problems. Learning is based mechanisms may be useful in coping with and differentiated services. The research objectives of this proposal are twofold:1. to develop technological mechanisms for packet regulation based on stochastic optimal control and to establish the general applicability of this perspective in networking through mathe-matical and computational analysis, and2. to mitigate the effect of computational complexity in solving real-world stochastic optimal control problems and to promote the development of practical learning based computational methods.The education objectives of this proposal are1. to provide a vehicle by which undergraduate and graduate students will learngeneral approaches to research: modeling, optimization, analysis, and design; andspecific technological expertise: stochastic optimal control, computational methods, andthe cutting edge of data communications, and2. to disseminate the results of the proposed research to as broad an audience as possible, including the telecommunications industry.***