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High accuracy, lightweight methods for network measurement services.

机译:高精度,轻量级的网络测量服务方法。

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摘要

Network monitoring is indispensable for maintaining and managing networks efficiently. With increasing network traffic in the ISP, enterprise and cloud environments, it is challenging to provide low overhead monitoring services without sacrificing accuracy. In this dissertation, we present techniques to enable measurement systems and services to have (1) high measurement accuracy, and (2) low measurement overhead. In the context of active measurements, shared active measurement services have been proposed to provide a common and safe environment to conduct measurements. By adapting to user measurement requests, we present solutions to (1) selectively use inference mechanisms, and (2) schedule active measurements in a non-interfering manner. These techniques reduce the measurement overhead costs and improve the accuracy for an active measurement service.;In the context of passive flow based measurements systems, this dissertation introduces Pegasus, a monitoring system that leverages co-located compute and storage devices to support aggregation queries. Using Pegasus, we present IFA (Iterative Feedback Aggregator), a technique to accurately detect global icebergs and network anomalies at a low communication cost. Finally, we present ALE (Approximate Latency Estimator), a scalable and low-overhead technique to estimate TCP round trip times at high data rates for troubleshooting network performance problems.
机译:网络监视对于高效维护和管理网络必不可少。随着ISP,企业和云环境中网络流量的增加,在不牺牲准确性的前提下提供低开销的监视服务是一项挑战。在本文中,我们提出了使测量系统和服务具有(1)高测量精度和(2)低测量开销的技术。在主动测量的情况下,已经提出了共享主动测量服务,以提供进行测量的公共和安全环境。通过适应用户的测量要求,我们提出了以下解决方案:(1)有选择地使用推理机制,以及(2)以无干扰的方式安排活动的测量。这些技术降低了测量开销成本,并提高了主动测量服务的准确性。在基于被动流的测量系统的背景下,本文引入了Pegasus,这是一种监控系统,该系统利用位于同一位置的计算和存储设备来支持聚合查询。我们使用Pegasus展示了IFA(迭代反馈聚合器),该技术可在较低的通信成本下准确检测全球冰山和网络异常。最后,我们提出ALE(近似延迟估算器),这是一种可扩展的低开销技术,用于估计高数据速率下的TCP往返时间,以解决网络性能问题。

著录项

  • 作者

    Gangam, Sriharsha.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Computer science.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 148 p.
  • 总页数 148
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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