浅谈为SDN网络提供低成本流量监控

Haythem Yahyaoui, M. Zhani
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引用次数: 6

摘要

随着远程外科手术、隐形传输和视频游戏等关键和高精度网络应用的出现,流量甚至数据包级别的流量监控最近获得了发展势头。然而,实现这种细粒度、连续和高频的监控尤其具有挑战性,因为它可能导致网络上的高监控流量负载消耗大量带宽(称为监控成本),特别是当此流量必须跨越几个跃点才能到达收集点时。另一个挑战是确保统计数据报告延迟(即检索统计数据所需的时间)不超过一定的阈值,以便及时分析统计数据。在本文中,我们通过仔细选择网络中每个流的交换机报告统计数据,并考虑可用于监控的带宽和交换机的容量,来解决在满足流报告延迟的同时最小化监控成本的问题。具体而言,我们将开关流选择问题表述为一个整数线性规划,并提出了一种启发式算法来处理流量和开关数量显著的大规模实例。通过大量的仿真,我们表明所提出的算法在监控成本和报告延迟方面优于现有的两种监控策略,并以最小的计算时间提供接近最优的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Providing Low-cost Flow Monitoring for SDN Networks
Traffic monitoring at the flow or even at the packet level has recently gained momentum with the emergence of critical and high-precision network applications like telesurgery, teleportation, and video gaming. However, achieving such fine-grained, continuous, and high-frequency monitoring is particularly challenging as it may result in a high monitoring traffic load on the network consuming significant amounts of bandwidth (referred to as monitoring cost), especially when this traffic has to cross several hops to reach the collecting point. Another challenge is to ensure that the statistics reporting delay ( i.e., the time needed to retrieve the statistics) does not exceed a certain threshold in order to analyze the statistics in a timely manner. In this paper, we address the problem of minimizing the monitoring cost while satisfying the flows' reporting delays by carefully selecting the switch reporting statistics of each flow in the network and taking into consideration the bandwidth available for monitoring and the capacity of the switches. Specifically, we formulate the problem of switch-to-flow selection as an integer linear program and put forward a heuristic algorithm to cope with large-scale instances where the number of flows and switches are significant. Through extensive simulations, we show that the proposed algorithm outperforms two existing monitoring strategies in terms of monitoring cost and reporting delay and provides near-optimal solution with minimal computation time.
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