Demo abstract: An integrated tool of applying stochastic network calculus for network performance analysis

Michael A. Beck, Sebastian A. Henningsen, Qian Xu, Jianping Wang, Kui Wu, Xian Liu
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引用次数: 3

Abstract

With the recent emergence of online network performance measuring tools, Internet users are now able to measure their received service levels. Such user-initiated network performance measurements push the ISPs to an ever-high standard, requiring them to know the worst-case performance of its admitted flows, whether and where to accommodate a new flow request, without violating the service agreement level (SLA). Stochastic Network Calculus (SNC) has been developed to derive performance bounds of a network system for many years in the research community. However, it has not been practically adopted by ISPs due to the lack of a tool supporting features such as end-to-end analysis or optimal parameter tuning. In this demo, we extended the DISCO Stochastic Network Calculator. We also compare the analytical results obtained from the tool with the simulation results obtained in NS-3 to validate the tightness of the performance bounds.
演示摘要:应用随机网络演算进行网络性能分析的集成工具
随着在线网络性能测量工具的出现,互联网用户现在可以测量他们收到的服务水平。这种用户发起的网络性能测量将isp推向了一个前所未有的高标准,要求他们知道其所承认的流的最坏情况性能,是否以及在哪里容纳新的流请求,而不违反服务协议级别(SLA)。随机网络演算(SNC)已经发展了多年,用于推导网络系统的性能边界。然而,由于缺乏支持端到端分析或最佳参数调优等功能的工具,它并没有被isp实际采用。在这个演示中,我们扩展了DISCO随机网络计算器。我们还将从该工具获得的分析结果与NS-3中获得的模拟结果进行了比较,以验证性能界限的严密性。
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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