一种多域光网络拓扑聚合算法A Multi-domain Optical Network Topology Aggregation Algorithm
张永棠;
摘要(Abstract)：
将复杂物理网络拓扑转换为简单的虚拟拓扑聚合是解决大规模多域光网络可扩展性和安全性问题的关键技术.提出了一种新的光网络多域线性阶梯聚合算法(ML-S),将线性段拟合算法升级为阶梯生成的多线拟合算法.通过查找阶梯的突变点,增加拟合线段的数量,减少冗余,对网络拓扑信息的描述进行改进.此外,ML-S融合了阶梯拟合算法,有效地缓解了拓扑信息的复杂性和准确性之间的矛盾.根据每个域的具体拓扑信息动态地选择一种更精确、更少冗余的算法.仿真结果表明,与最小二乘算法和梯形拟合算法相比,ML-S失真性能指数降低了60%,与多线拟合算法相比,ML-S冗余度降低了50%.在不同的拓扑条件下,ML-S保持了低估计失真、高估计失真和冗余度,在聚集程度和精度之间实现了更好的平衡.
关键词(KeyWords)： 多域光网络;阶梯拟合;网络空间安全;可信网络;域间路由
基金项目(Foundation): 国家自然科学基金项目(61363047);; 广东省大数据分析与处理重点实验室开放基金(2017007);; 广东省高校重点平台与特色创新项目(2017KTSCX200);; 佛山市科技创新项目(2016AG100792)
作者(Authors): 张永棠;
DOI: 10.13568/j.cnki.651094.2019.01.003
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