Modelling and Analysis of Dynamic Networks

我建议的研究是关于动态网络中资源的有效利用，特别是多媒体流系统，以及网络中的分布式决策。第一个主题的目标是开发分析方法，以建立无线多媒体流系统中的突发调度和无线移动设备（如智能手机和平板电脑）的能耗的性能界限。对于突发调度问题，我建议通过调整、扩展和专门化已经为无线网络开发的分析技术来做到这一点。对于能源消耗问题，我建议采用和扩展算法和敏感性分析技术，这些算法和敏感性分析技术已经开发出来，用于在不断变化和不确定的环境中调度资源。第二个主题的目标是模拟在社会网络等不断发展的环境中发生的决策和共识形成的类型。我建议将我开发的方法结合起来，用经典的分布式共识技术来模拟网络中流行病的传播。

My proposed research is concerned with the efficient use of resources in dynamic networks, particular multimedia streaming systems, and with distributed decision-making in networks. The goals of the first topic are to develop analytical methods for establishing performance bounds on burst scheduling in wireless multimedia streaming systems and on energy consumption in wireless mobile devices such as smart phones and tablets. For burst scheduling problems, I propose to do this by adapting, extending, and specializing analysis techniques that have been developed for radio networks. For energy consumption problems, I propose to adapt and extend algorithms and sensitivity analysis techniques that have been developed for scheduling resources in evolving and uncertain environments. The goal of the second topic is to model the types of decision-making and consensus-forming that occur in evolving environments such as social networks. I propose to do this by combining methods that I have developed to model the spread of epidemics in networks with classical distributed consensus techniques.