ID 原文 译文
19885 在光线路终端间，设计粒子群优化的BP神经网络模型预测各光线路终端所需带宽，避免了控制器与光线路终端信息交互时延对资源分配实时性的影响； For intra-Optical Line Terminal (OLT), the BP neuralnetwork model based on Particle Swarm Optimization (PSO) algorithm is designed to predict the requiredbandwidth of each OLT in order to avoid the impact of delay between controller and OLT on real-timeresource allocation.
19886 其次，在光线路终端内，动态设定滑动周期并基于光网络单元授权信息实时统计资源池共享带宽，同时，设计负载均衡的波长调度机制实现多波长的高效利用。 For inter-OLT, the slide cycle is dynamically set, and then the shared bandwidth ofresource pool is counted in real-time according to the authorized information of optical network unit. In the process of wavelength scheduling, a wavelength scheduling mechanism with load balancing to achieve efficiently utilizing of wavelength resource is designed.
19887 仿真结果表明，该策略提高了信道资源利用率，降低了平均包时延。 The simulation results show that the proposed strategy not only effectively improves the utilization of channel resources, but also reduces the average packet delay.
19888 在多控制器管理的软件定义网络(SDN)中，时延和负载是控制器放置问题(CPP)要考虑的重要因素。 In Software Defined Networks (SDN), latency and load are important factors for ControllerPlacement Problem (CPP).
19889 该文以降低控制器之间的传播时延、流请求的传播时延和排队时延、均衡控制器间负载为目标，提出一种控制器放置及动态调整的策略，其中包括用于初始控制器放置的负载均衡算法(BCRA)和遗传算法(GA)，用于动态调整控制器负载的在线调整算法(ADOA)。 To reduce the transmission latency between controllers, the propagation latencyand queuing latency of flow requests, and balance the controller load, a strategy on how to place and adjust thecontroller is proposed. It mainly includes Genetic Algorithm (GA) and Balanced Control Region Algorithm(BCRA) which are used to place the initial controller and one Algorithm of Dynamic Online Adjustment(ADOA), that is an online adjusting algorithm in term dynamic controlling.
19890 以上算法均考虑网络连通性。 The above algorithms are all basedon the network connectivity.
19891 仿真结果表明：在初始控制器放置时，在保证流请求的传播时延、排队时延和控制器传播时延较低的情况下，BCRA部署在中小型网络中时，其负载均衡性能与GA相近且优于k-center和k-means算法；GA部署在大型网络中时，与BCRA, k-center和k-means算法相比，使得负载均衡率平均提高了49.7%。 The simulation results show that in initial controller placement situation, underthe premise of guaranteeing the lower propagation latency, queue latency and controller transmission latency offlow request, when BCRA is deployed in small and medium-sized networks, its load balancing performance issimilar to that of GA and superior to k-center and k-means algorithm; When GA is deployed in large networks,compared with BCRA, k-center and k-means, the load balancing rate increases averagely 49.7%.
19892 在动态情况下，与现有动态调整算法相比，ADOA可以保证较低排队时延和运行时间的同时，仍能使负载均衡参数小于1.54。 In the dynamic situation, ADOA can guarantee lower queuing delay and running time, and can still make the load balance parameter less than 1.54.
19893 在分析了矢量跟踪环路和标量跟踪环路故障检测方面差异的基础上，该文指出全球导航卫星系统(GNSS)矢量接收机自主完好性监控(RAIM)技术所存在的问题，即RAIM检测量受噪声影响导致检测故障不准确，和故障信息在环路中的传播使得难以准确识别出故障源。 Based on the analysis on the difference between vector tracking loop and scalar tracking loop on faultdetection, it is pointed out that in vector receiver of Global Navigation Satellite System (GNSS), the detectionstatistic of Receiver Autonomous Integrity Monitoring (RAIM) algorithm is inaccurate because of the influenceof noise, and the propagation of fault information in the loop makes it difficult to identify the fault source.
19894 针对上述问题，对矢量接收机的结构进行了改进，提出基于预滤波器的双环路跟踪结构。 To solve the problems, a double loop tracking structure based on pre-filter is proposed after modifying the structure of vector receiver.