网络延迟特性及其对距离预测精度的影响

Chang-you Xing, Ming Chen
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引用次数: 4

摘要

基于网络坐标(NC)系统的网络距离预测为在有限的测量时间内获取网络距离(延迟)信息提供了一种有效的机制。分析了数控系统中度量空间嵌入的数学原理,提出了嵌入空间模型设计的基本原则,即最小化嵌入变换的复杂度和最小化嵌入变形。然后,基于不同的性能指标,对典型数控系统的性能进行了评估,分析结果表明,该系统远不能满足应用需求。本文将其主要原因归结为互联网的层次结构和网络距离的准度量空间特征,并对后者进行了详细的研究。最后讨论了利用层次模型和空间修复技术提高网络距离预测精度的实用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characteristics of Internet Latency and Their Impact on Distance Prediction Accuracy
Network distance prediction based on Network Coordinate (NC) system provides an efficient mechanism to obtain network distance (latency) information with limited times of measurements. In this paper, the mathematic principle of metric space embedding in NC system is analyzed, and the basic rule of designing embedding space model is proposed, which is minimizing both embedding transformation complexity and distortion. Then based on different performance metrics, the performance of a typical NC system is evaluated, and analysis results show that it is far from satisfying application requirements. We ascribe the main causes of such results are Internet hierarchical structure and network distances quasi-metric space feature, the latter of which is then studied in detail. Finally the practicability of increasing network distance prediction accuracy using hierarchical model and space repair technique is discussed.
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