Title :
Predicting Internet end-to-end delay: an overview
Author :
Yang, Ming ; Li, X. Rong ; Chen, Huimin ; Rao, Nageswara S V
Author_Institution :
Dept. of Electr. Eng., New Orleans Univ., LA, USA
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.
Keywords :
Internet; delays; graph theory; identification; learning (artificial intelligence); quality of service; time series; Internet dynamics; QoS; dynamic systems; end-to-end packet delay; quality of service; system identification; time series analysis; Algorithm design and analysis; Delay effects; Delay systems; Internet; Laboratories; Predictive models; Propagation delay; Quality of service; Switching circuits; System identification;
Conference_Titel :
System Theory, 2004. Proceedings of the Thirty-Sixth Southeastern Symposium on
Print_ISBN :
0-7803-8281-1
DOI :
10.1109/SSST.2004.1295650