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A Cluster-Based QoS Information Approximation Algorithm in Multi-domain Networks

机译:多域网络中基于集群的QoS信息逼近算法

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摘要

This paper proposes a method of improving the scalability of topology aggregation (TA) as network size grows. A staircase representation algorithm is employed to approximate the QoS information representation. The new staircase is represented by fewer points whose size will not grow with the network size by applying cluster analysis to the arrival requests and the area-minimization optimization is used to minimize the approximation distortion for determining these points. Simulation results show that the proposed method achieves better scalability compared with existing TA methods.
机译:本文提出了一种随着网络规模的增长而提高拓扑聚合(TA)的可伸缩性的方法。采用阶梯表示算法来近似QoS信息表示。通过将聚类分析应用于到达请求,新的阶梯由更少的点表示,这些点的大小不会随着网络的大小而增长,并且使用区域最小化优化来最小化确定这些点的近似失真。仿真结果表明,与现有的TA方法相比,该方法具有更好的可扩展性。

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