NeTS: Small: Collaborative Research: Holistic and Integrated Design of Layered Optical Networks

传输系统吞吐量需求的急剧增加推动了全光网络的发展。当这些网络在设计时考虑到它们自身的局限性，比如粗糙的波长粒度和物理缺陷，它们可以提供巨大的容量。在本研究中，我们考虑了光网络的整体设计，包括三个网络层的相互依存：流量疏导层、光路管理层和物理光纤层。首先从自顶向下观察网络，其中亚波长电路请求到达时具有特定的服务质量要求。当前的流量疏导方法被改变为结合它们对光路管理和物理层约束的依赖。然后对系统进行自下而上的检查，以便随着更高层协议的发展，传输质量和资源利用效率可以得到优化。总容量是从信息论的角度来衡量的，系统优化使用了博弈论的思想。研究结果将成为提高未来光网络容量和生存能力的实用算法，并为其优越性提供定量证明。网络能力的增强将有助于满足我们的社会。对信息日益增长的需求。它鼓励开发需要大量带宽的应用程序。它还促进了网络和通信两个领域的思想交流。算法和软件将通过网站公开。该研究提高了参与研究的不同群体的研究生和本科生的教育。

The dramatic increase in throughput demands on transport systems has propelled the development of all-optical networks. These networks can provide tremendous capacity when they are designed with their own limitations in mind, such as coarse wavelength granularity and physical impairments. In this research we consider the holistic design of optical networks that include the interdependence of three network layers: the traffic grooming layer, the lightpath management layer, and the physical fiber layer.The network is first viewed from the top-down, where sub-wavelength circuit requests arrive with specific quality of service requirements. Current traffic grooming approaches are altered to incorporate their dependence on the lightpath management and physical layer constraints.The system is then examined from the bottom-up, so that the quality of transmission and efficiency of resource utilization can be optimized as the higher layer protocols evolve. Total capacity is measured from an information theoretic view point and system optimization uses ideas from game theory. The results of the research will be practical algorithms for improved capacity and survivability of future optical networks as well as providing a quantitative proof of their superiority. The enhancement of network capability will help satisfy our society?s ever-increasing need for information. It encourages the development of applications that require significant bandwidth. It also stimulates cross-fertilization of ideas from the two fields of networking and communications. The algorithms and software will be made publicly available via a web-site. The research enhances the education of the diverse group of graduate and undergraduate students participating in it.