サテライトコンピューティングシステムの信頼性と高性能化

在过去的5个月里，人们对片上光子网络进行了深入的研究，特别是对可靠路由算法的研究。片上光子网络天生对α粒子更有弹性，因为它使用光子进行通信，但也存在其他形式的缺陷，比如热变化。为了通过热变化控制故障，在微环谐振器中加入了可以加热微环谐振器的扁平线圈。通过改进算法的两个子方面，可以改进基于应变的计算。与使用失效微环谐振器的阈值不同，性能因子是基于单个开关中失效微环谐振器的所有可能组合来计算的。这样，如果在同一位置的两个微环谐振器发生故障，则无法猜测消息是否可以通过开关。改进的第二个点是跳过基于功率的温度估计，代之以将网络划分为单个节点的网段，并测量每个网段的温度。最终的出版物几乎可以提交了。未来，该控制方法可应用于卫星网络等高级网络。

Over the past 5 months, the Photonic Networks-on-Chip has been studied especially on reliable routing algorithm. Photonic Networks-on-Chip are inherently more resilient to alpha particles because of using photons for communication but suffer from other forms of faults such as thermal variation. In order to control faults by the thermal variation, the microring resonators are fabricated with a flattened coil that can heat up the microring resonators. The strain-based calculation can be improved by improving both sub aspects of the algorithm. Instead of using a threshold of failed microring resonators, a performance factor is calculated based on every possible combinations of failed microring resonators in the individual switch. This way, there is no guessing whether a message can make it through the switch if two microring resonators in the same location have failed. The second point of improvement is to skip the power-based temperature estimation and replace it by separating the network into segments of single nodes and measuring the temperature of each segment. The resulting publication is almost ready for submission.In the future, the control method might be applied to advanced network such as satellite networks.