Detection and analysis of packet loss on underutilized enterprise network links

Seung-Hwa Chung, Y. Won, D. Agrawal, Seong-Cheol Hong, J. W. Hong, Hong-Taek Ju, Kihong Park
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引用次数: 6

Abstract

ISPs and enterprises usually overprovision their networks as a means of supporting QoS. In spite of that, the service quality of QoS-sensitive applications such as VoIP, video conferencing and streaming media may not be up to expectations. We believe this is due to sporadic but non-negligible packet losses due to traffic bursts even in underutilized links. Our earlier work attempted to detect and analyze packet losses in underutilized links in an enterprise network environment using SNMP. This paper presents an extension of our earlier work by attempting to detect and analyze packet loss at finer granularity of time scale. We have developed a passive traffic capturing system, which can provide smaller time scale analysis of packet loss. We have analyzed the data and identified parts that are representative of packet loss across various time scales: 10 milliseconds, one second, 10 seconds and one minute. Analysis reveals that packet losses on underutilized link do occur due to bursty traffic packets in a small time scale. We also present analysis of other traffic properties such as packet size distribution and flows for the packet loss.
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对未充分利用的企业网络链路进行丢包检测和分析
isp和企业通常过度配置他们的网络作为支持QoS的一种手段。尽管如此,VoIP、视频会议和流媒体等对质量敏感的应用程序的服务质量可能达不到预期。我们认为这是由于即使在未充分利用的链路中,由于流量突发造成的零星但不可忽略的数据包丢失。我们早期的工作尝试使用SNMP检测和分析企业网络环境中未充分利用的链路中的数据包丢失。本文通过尝试在更细粒度的时间尺度上检测和分析数据包丢失,提出了我们早期工作的扩展。我们开发了一个被动流量捕获系统,它可以提供更小的时间尺度的丢包分析。我们分析了数据,并确定了在不同时间尺度(10毫秒、1秒、10秒和1分钟)中具有代表性的数据包丢失部分。分析表明,在小时间尺度上,由于突发流量报文,在未充分利用的链路上确实会发生丢包。我们还分析了其他流量属性,如数据包大小分布和丢包流。
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