利用度中心性实现基于openflow的SDN快速带宽测量

Binghao Yan, Qinrang Liu, Dong Liang, Haiming Zhao, JianLiang Shen
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引用次数: 0

摘要

网络优化和策略部署需要底层状态信息作为参考依据。然而,信息采集的时效性会严重影响优化结果的有效性。链路带宽作为一项关键指标,对路由、队列调度和拥塞控制等网络管理具有指导意义。本文利用复杂网络中基于度中心性的关键节点排序理论,实现了软件定义网络中链路带宽的快速测量。在不同尺寸的实际拓扑上的仿真结果验证了该方案在测量时间开销和对不同测量方法的鲁棒性方面优于现有算法。
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Leveraging Degree Centrality for Fast Bandwidth Measurement in OpenFlow-based SDN
Network optimization and policy deployment need the underlying state information as a reference basis. However, the timeliness of information collection will seriously affect the effectiveness of optimization results. As a key index, link bandwidth has a guiding significance for network management such as routing, queue scheduling and congestion control. In this paper, we use the theory of degree centrality-based critical node ranking in complex networks to implement fast link bandwidth measurements in software-defined networks. Simulation results on several real topologies of different sizes verify the advantages of our scheme over existing algorithms in terms of measurement time overhead and robustness to different measurement methods.
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