Network Protocols and the Causes of Chaotic Traffic

网络协议和混乱流量的原因

• 批准号: 9706491
• 负责人: Jon Peha
• 金额: $ 26.93万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1997
• 资助国家: 美国
• 起止时间: 1997-09-01 至 2004-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9706491&HistoricalAwards=false
• 关键词: Network; Protocols; Causes; Chaotic; Traffic

Recent empirical studies have shown that self-similar traffic models, which are rooted in chaos theory, may be more appropriate than the models typically in use for network traffic. Without an understanding of the causes of this self-similar behavior, it is difficult to say how widely applicable these models are, or what if anything should be done to mitigate the will explore whether network protocols themselves can make traffic appear chaotic over time scales of engineering interest, and if so, whether protocol modifications might help. This will be achieved by simulating realistic models of a variety of networks, present and future. In each simulation, a well-behaved (non-chaotic) model for input traffic will be employed, and it will be determined whether the network protocols can turn this well-behaved input into chaotic or self-similar traffic flows.

最近的实证研究表明，自相似流量模型，这是植根于混沌理论，可能比通常用于网络流量的模型更合适。 如果不了解这种自相似行为的原因，就很难说这些模型的适用范围有多广，或者如果应该采取任何措施来缓解这种情况，那么将探索网络协议本身是否会使流量在工程兴趣的时间尺度上出现混乱，如果是这样，协议修改是否会有所帮助。 这将通过模拟各种网络的现实模型来实现，包括现在和未来。 在每个模拟中，将采用输入流量的良好行为（非混沌）模型，并确定网络协议是否可以将此良好行为的输入转换为混沌或自相似流量流。