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，人们对光子片上网络的可靠路由算法进行了深入的研究。由于使用光子进行通信，片上光子网络天生对阿尔法粒子具有更强的弹性，但也会受到其他形式的故障的影响，如热变化。为了通过温度变化来控制故障，微环谐振器被制作成平坦的线圈来加热微环谐振器。通过对算法的两个子方面进行改进，可以改进基于应变的计算。不使用故障微环谐振器的阈值，而是基于单个开关中故障微环谐振器的每一种可能的组合来计算性能因数。这样，如果同一位置的两个微环谐振器发生故障，则不会猜测消息是否可以通过开关。改进的第二点是跳过基于功率的温度估计，通过将网络分成单个节点的段并测量每个段的温度来代替它。该控制方法可应用于卫星网络等先进网络。

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.