Modelling and Analysis of Dynamic Networks

我提出的研究是关于在动态网络，特别是多媒体流系统中的资源的有效利用，并在网络中的分布式决策。 第一个主题的目标是开发分析方法，用于建立无线多媒体流系统中突发调度的性能界限和无线移动的设备（如智能手机和平板电脑）中的能耗。 对于突发调度问题，我建议这样做，通过调整，扩展和专门的分析技术，已开发的无线电网络。 对于能源消耗问题，我建议适应和扩展算法和灵敏度分析技术，已开发的调度资源在不断变化和不确定的环境。 第二个主题的目标是对在不断发展的环境（如社交网络）中发生的决策和共识形成的类型进行建模。 我建议通过结合我开发的方法来模拟流行病在网络中的传播与经典的分布式共识技术来做到这一点。

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.