一种新的分层网络拓扑聚合算法

Jingjun Zhang, Yuanbin Han, Liguo Wang
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引用次数: 1

摘要

出于可扩展性和安全性的考虑,大规模网络通常采用分层结构。引入拓扑聚合对域的状态信息进行约简,但也带来了原有状态信息的失真。信息减少和失真之间的权衡是拓扑聚合的关键。针对具有时延和带宽约束的分层网络,提出了一种新的拓扑聚合算法SA方法。该方法使用线段生成的近似阶梯来表示QoS支持的区域,以表示全网格中逻辑链路的参数;在此基础上,利用生成树和星型拓扑结构对全网格进行压缩。实验结果表明,与现有方法相比,新的拓扑聚合方法可以减少更多的信息失真,并在信息减少和精度之间取得更好的平衡。
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A New Topology Aggregation Algorithm in Hierarchical Networks
Large scale networks are usually hierarchically structured for the reason of scalability and security. Topology aggregation is introduced for the state information reduction of domains, but it also brings distortion of the original state information. The tradeoff between information reduction and distortion is the key to topology aggregation. In this paper, a new topology aggregation algorithm called SA approach is presented for hierarchical networks with delay and bandwidth constraints. This approach uses an approximation staircase generated by a line segment to represent the QoS supported area for the purpose of representing the parameters of a logical link in the full-mesh; furthermore, the spanning tree and star topology are employed to compress the full-mesh. Experimental results show that the new topology aggregation method can reduce more information distortion and achieve a better tradeoff between information reduction and accuracy than existing approaches.
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