基于新型路由算法的六边形拓扑网络设计与性能评估

Yuh-Jiuh Cheng, Bor-Tauo Chen, Wen-Lin Cheng
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引用次数: 1

摘要

提出了启发式最短路径路由算法和性能评估,以寻找六边形拓扑网络中光交换机两个节点之间最合适的光路。六方光交换网络具有易于扩展和容错灵活等优点。如果我们想扩展六边形拓扑网络,我们可以增加层数。设计了具有294个节点的7级六边形拓扑网络,并设计了其路由算法。最后,我们用SPRA-AI(基于人工智能决策树的最短路径路由算法)、SPRA-SPT(基于生成树的最短路径路由算法)和SPRA-PDP(基于纯距离预测的最短路径路由算法)等不同算法对四层六边形拓扑网络的性能进行了评估。为了保证仿真结果的真实性,还从实际的核心网中捕获了仿真的流量模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Performance Evaluation of Hexagonal Topology Networks with Novel Routing Algorithms
The heuristic shortest path routing algorithms and performance evaluation are proposed to find the most suitable optical path between the two nodes of the optical switch in hexagonal topology network. The advantages of hexagonal optical switching network are easy to expand and have flexible fault tolerant. If we want to expand hexagonal topology network, we can increase the number of levels. A 7-level hexagonal topology network with 294 nodes has been designed and its routing algorithm has also been designed. Finally, we evaluated the performance of 4-level hexagonal topology network with different algorithms such as SPRA-AI (Shortest Path Routing Algorithm with Artificial Intelligence using decision tree), SPRA-SPT (Shortest Path Routing Algorithm with Spanning Tree), and SPRA-PDP (Shortest Path Routing Algorithm with Pure Distance Prediction). The simulated traffic mode is also captured from the actual core network to obtain the authenticity of the simulation results.
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