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An Active Measurement System for Shared Environments

机译:共享环境的主动测量系统

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Testbeds composed of end hosts deployed across the Internet enable researchers to simultaneously conduct a wide variety of experiments. Active measurement studies of Internet path properties that require precisely crafted probe streams can be problematic in these environments. The reason is that load on the host systems from concurrently executing experiments (as is typical in PlanetLab) can significantly alter probe stream timings. In this paper we measure and characterize how packet streams from our local PlanetLab nodes are affected by experimental concurrency. We find that the effects can be extreme. We then set up a simple PlanetLab deployment in a laboratory testbed to evaluate these effects in a controlled fashion. We find that even relatively low load levels can cause serious problems in probe streams. Based on these results, we develop a novel system called MAD that can operate as a Linux kernel module or as a stand-alone daemon to support real-time scheduling of probe streams. MAD coordinates probe packet emission for all active measurement experiments on a node. We demonstrate the capabilities of MAD, showing that it performs effectively even under very high levels of multiplexing and host system load.
机译:由部署在互联网上的最终主机组成的测试平台使研究人员能够同时进行各种各样的实验。在这些环境中,需要精确制作探针流的互联网路径特性的主动测量研究可能是有问题的。原因是来自同时执行实验的主机系统上的负载(如PlanetLab中的典型值)可以显着改变探针流定时。在本文中,我们测量并表征来自我们本地PlanetLab节点的数据包流是如何受实验并发的影响。我们发现效果可能是极端的。然后,我们在实验室中设置了一个简单的PlanetLab部署,以评估这些效果以受控的方式评估这些效果。我们发现即使是较低的负载水平也可能导致探针流中的严重问题。基于这些结果,我们开发了一个名为MAD的新系统,可以作为Linux内核模块或独立守护程序运行,以支持探测流的实时调度。 MAD协调节点上所有主动测量实验的探测分组发射。我们展示了MAD的能力,表明它即使在非常高水平的多路复用和主机系统负载下也能有效地执行。

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