Predicting internet end-to-end delay: An overview

Ming Yang, X. Rong Li, Huimin Chen, Nageswara S.V. Rao

Research output: Contribution to conferencePaperpeer-review

38 Scopus citations

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.

Original languageEnglish
Pages210-214
Number of pages5
StatePublished - 2004
EventProceedings of the Thirty-Sixth Southeastern Symposium on System Theory (SSST04) - Atlanta, GA., United States
Duration: Mar 14 2004Mar 16 2004

Conference

ConferenceProceedings of the Thirty-Sixth Southeastern Symposium on System Theory (SSST04)
Country/TerritoryUnited States
CityAtlanta, GA.
Period03/14/0403/16/04

Keywords

  • End-to-end delay
  • Prediction
  • System identification
  • Time series

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