Coordinated sampling sans Origin-Destination identifiers: Algorithms and analysis

V. Sekar, Anupam Gupta, M. Reiter, Hui Zhang
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引用次数: 12

Abstract

Flow monitoring is used for a wide range of network management applications. Many such applications require that the monitoring infrastructure provide high flow coverage and support fine-grained network-wide objectives. Coordinated Sampling (cSamp) is a recent proposal that improves the monitoring capabilities of ISPs to address these demands. In this paper, we address a key deployment impediment for cSamp-like solutions-the need for routers to determine the Origin-Destination (OD) pair of each packet. In practice, however, this information is not available without expensive changes. We present a new framework called cSamp-T, in which each router uses only local information, instead of the OD-pair identifiers. Leveraging results from the theory of maximizing sub-modular set functions, cSamp-T provides near-ideal performance in maximizing the total flow coverage in the network. Further, with a small amount of targeted upgrades to a few routers, cSamp-T nearly optimally maximizes the minimum fractional coverage across all OD-pairs. We demonstrate these results on a range of real topologies.
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无始发-目的地标识符的协调抽样:算法和分析
流量监控用于广泛的网络管理应用。许多这样的应用程序要求监视基础设施提供高流量覆盖并支持细粒度的网络范围目标。协调采样(cSamp)是最近提出的一项建议,旨在提高isp的监控能力,以满足这些需求。在本文中,我们解决了类似csamp的解决方案的一个关键部署障碍——路由器需要确定每个数据包的Origin-Destination (OD)对。然而,在实践中,如果不进行昂贵的更改,就无法获得这些信息。我们提出了一个名为cSamp-T的新框架,其中每个路由器仅使用本地信息,而不是od对标识符。利用最大化子模集函数理论的结果,cSamp-T在最大化网络中的总流覆盖方面提供了接近理想的性能。此外,通过对少数路由器进行少量有针对性的升级,cSamp-T几乎可以优化所有od对的最小分数覆盖率。我们在一系列实际拓扑上演示了这些结果。
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