Detecting Anomalies Using End-to-End Path Measurements

K. Naidu, Debmalya Panigrahi, R. Rastogi
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引用次数: 28

Abstract

In this paper, we propose new "low-overhead" network monitoring techniques to detect violations of path-level QoS guarantees like end-to-end delay, loss, etc. Unlike existing path monitoring schemes, our approach does not calculate QoS parameters for all paths. Instead, it monitors QoS values for only a few paths, and exploits the fact that path anomalies are rare and anomalous states are well separated from normal operation, to rule out path QoS violations in most situations. We propose a heuristic to select a small subset of network paths to monitor while ensuring that no QoS violations are missed. Experiments with an ISP topology from the Rocketfuel data set show that our heuristic can deliver almost a 50% decrease in monitoring overhead compared to previous schemes.
使用端到端路径测量检测异常
在本文中,我们提出了新的“低开销”网络监控技术来检测违反路径级QoS保证,如端到端延迟,丢失等。与现有的路径监控方案不同,我们的方法不计算所有路径的QoS参数。相反,它只监视少数路径的QoS值,并利用路径异常罕见和异常状态与正常操作分离的事实,在大多数情况下排除路径QoS违规。我们提出了一种启发式方法来选择一小部分网络路径进行监控,同时确保没有遗漏QoS违规。对Rocketfuel数据集的ISP拓扑进行的实验表明,与以前的方案相比,我们的启发式方法可以减少近50%的监控开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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