Predicting Internet end-to-end delay: an overview

Ming Yang, X.R. Li, Huimin Chen, N. Rao
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引用次数: 58

Abstract

Predicting the end-to-end packet delay and understanding the Internet dynamics are of great importance for many realtime and non-realtime applications, especially for provisioning the quality of service (QoS) of various sources. In this paper methods for modeling Internet dynamics and predicting the end-to-end delays are surveyed with emphasis on the approaches using system identification and time series analysis. The survey focuses on a control engineer's viewpoint rather than that of a statistician. Furthermore, it intends to provide a connection between the works in the both areas.
预测互联网端到端延迟:概述
预测端到端数据包延迟和了解互联网动态对于许多实时和非实时应用,特别是对各种来源的服务质量(QoS)提供具有重要意义。本文综述了互联网动态建模和端到端延迟预测的方法,重点介绍了使用系统识别和时间序列分析的方法。这项调查侧重于控制工程师的观点,而不是统计学家的观点。此外,它打算在这两个领域的工作之间建立联系。
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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