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PlanetSeer: Internet Path Failure Monitoring and Characterization in Wide-Area Services

机译:PlanetSeer:广域服务中的Internet路径故障监视和表征

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Detecting network path anomalies generally requires examining large volumes of traffic data to find misbehavior. We observe that wide-area services, such as peer-to-peer systems and content distribution networks, exhibit large traffic volumes, spread over large numbers of geographically-dispersed endpoints. This makes them ideal candidates for observing wide-area network behavior. Specifically, we can combine passive monitoring of wide-area traffic to detect anomalous network behavior, with active probes from multiple nodes to quantify and characterize the scope of these anomalies. This approach provides several advantages over other techniques: (1) we obtain more complete and finer-grained views of failures since the wide-area nodes already provide geographically diverse vantage points; (2) we incur limited additional measurement cost since most active probing is initiated when passive monitoring detects oddities; and (3) we detect failures at a much higher rate than other researchers have reported since the services provide large volumes of traffic to sample. This paper shows how to exploit this combination of wide-area traffic, passive monitoring, and active probing, to both understand path anomalies and to provide optimization opportunities for the host service.
机译:检测网络路径异​​常通常需要检查大量流量数据以发现异常行为。我们观察到,诸如对等系统和内容分发网络之类的广域服务呈现出大流量,并散布在许多地理上分散的端点上。这使它们成为观察广域网行为的理想人选。具体来说,我们可以将对广域流量的被动监视与检测异常网络行为相结合,并与来自多个节点的主动探针进行结合,以量化和表征这些异常的范围。与其他技术相比,该方法具有多个优点:(1)由于广域节点已经提供了地理位置上各不相同的优势点,因此我们获得了更完整,更细粒度的故障视图; (2)由于大多数主动探测是在被动监控检测到奇数时启动的,因此我们招致的额外测量成本有限; (3)我们发现故障的速度比其他研究人员报告的要高得多,因为这些服务提供了大量的流量进行采样。本文展示了如何利用广域流量,被动监视和主动探测的这种组合来了解路径异常并为主机服务提供优化机会。

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