A Traffic-Aware Perspective on Network Disaggregated Sketches

Alessandro Cornacchia, G. Sviridov, P. Giaccone, A. Bianco
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Abstract

Sketches have emerged as a powerful tool for network traffic monitoring due to the good trade-off between accuracy and memory footprint offered by such techniques. Yet, implementing sketches on commercial switches raises numerous challenges related to availability of memory and its access frequency. Recently, disaggregated sketches, i.e., fragments of single network-wide sketches distributed across multiple switches, were introduced to cope with these limitations. However, none of the current approaches exploit any knowledge about the network traffic patterns when deploying such schemes. In this paper, we investigate the impact of traffic patterns on the performance of disaggregated sketches. Our findings show that blindly updating all fragments of a sketch might degrade the monitoring accuracy. Instead, taking into account the spatial distribution of the traffic may lead to globally better monitoring accuracy. Finally, we provide hints on the existence of an optimal solution for such a problem which opens new opportunities for the design of traffic-aware update policies for sketches.
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网络分解草图的交通感知视角
草图已经成为一种强大的网络流量监控工具,因为这种技术在准确性和内存占用之间取得了很好的平衡。然而,在商用交换机上实现草图提出了许多与存储器可用性及其访问频率相关的挑战。最近,为了应对这些限制,引入了分解草图,即分布在多个交换机上的单个全网草图的片段。然而,在部署这种方案时,目前的方法都没有利用任何关于网络流量模式的知识。在本文中,我们研究了交通模式对分解草图性能的影响。我们的研究结果表明,盲目地更新草图的所有片段可能会降低监测的准确性。相反,考虑交通的空间分布可能会提高全球监测的准确性。最后,我们提供了关于该问题存在最优解的提示,这为设计交通感知的草图更新策略提供了新的机会。
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