Elastic Optical Networks and Probablistic Design

英国光通信网络需要不断改进，以适当的QoS和时延路由不断增长的需求。这一改进可以从提高带宽分配的效率和改进大规模网络的建模中找到。本项目试图建模和设计一个弹性光网络，其中WDM信道可以组合在一起，为较大的需求提供较大的带宽，或者分成几个单独的信道，以减少较小需求的开销，从而提高网络效率。考虑到英国通信网格的规模，建模这需要新的方法来表示这种类型的系统，以将计算需求缩小到合理的水平。统计物理学是专门为这项任务而建立的，通过使用熵和温度等概念来表示网络活动的状态，我们试图降低问题的计算复杂性。这将允许建模超出网络骨干，甚至可以显示这种系统的紧急“组”属性。这种表示将与概率设计方法配对，以提供有效的方法来加强现有网络，或者在经济上可行的情况下，可以取代现有网络的全新网络设计。这将提高英国通信基础设施的性能和可靠性，确保其能够科普未来互联网使用的增长，例如“物联网”或高比特率视频流。

The UK optical communication network requires constant improvement to route ever increasing demands at suitable QoS and latencies. Such an improvement could be found from increasing the efficiency of bandwidth allocation and from improved modelling of networks at a large scale.This project seeks to model and design an elastic optical network, wherein WDM channels can be grouped together, providing larger bandwidth for larger demands, or split into several separate channels to reduce overhead on smaller demands, thus increasing network efficiency.Given the scale of the UK communications grid, modelling this requires novel approaches to representing this type of system to shrink the computing requirements to reasonable levels. Statistical physics is purpose built for this task and by using concepts such as entropy and temperature to represent states of network activity we seek to reduce the computational complexity of the problem. This will allow modelling beyond the network backbone and could even show emergent 'group' properties of such systems.This representation will be paired with probabilistic design methods to provide either efficient ways to reinforce the current network or an entirely new network design which could replace the current network when economically viable.This will improve the performance and reliability of the UK communications infrastructure, ensuring its ability to cope with future increases in internet usage such as the 'Internet of Things' or high bitrate video streams.