RIA: Resource Control in Communication Systems with Time- varying Characteristics

计算机网络中的这个项目涉及控制大型通信系统中处理资源的使用。随着用户需求在数量和复杂性上的增长，有必要制定有效的资源分配机制。重点是系统的基本驱动参数随时间变化。该方法解决了目前几种资源控制优化方法中的两个缺点：假设某些参数由已知的概率分布控制，并且驱动参数随时间不变或不变。该方法采用随机优化算法，在驱动参数随时间变化的系统中在线执行。利用相对较新的大偏差理论研究了算法的收敛特性，并通过仿真进行了实验，以便对不同算法进行比较。预计这些结果将有助于通信系统中的资源控制以及增加对一般时变随机系统的了解。

This project in computer networking concerns controlling the use of processing resources in large communication systems. With user demands growing in number and complexity, there is a need to develop mechanisms for efficient resource allocation. The focus is on systems in which the underlying driving parameters vary with time. The approach addresses two shortcomings in several current approaches to the optimization of resource control: the assumptions that certain parameters are governed by known probability distributions, and that the driving parameters are stationary or constant with time. This approach uses stochastic optimization algorithms that execute on-line in a system in which the driving parameters vary with time. Convergence properties of the algorithms using the relatively new theory of large deviations are studied, and experiments conducted through simulation allow comparison of different algorithms. It is expected that the results will contribute to resource control in communication systems as well as to an increased understanding of time-varying stochastic systems in general.