DocumentCode
2912880
Title
Forecasting Full-Path Network Congestion Using One Bit Signalling
Author
Woldeselassie, Mussie ; Clegg, Richard G. ; Rio, Miguel
Author_Institution
Dept. of E&EE, Univ. Coll. London, London, UK
fYear
2010
fDate
23-27 May 2010
Firstpage
1
Lastpage
5
Abstract
In this paper, we propose a mechanism for packet marking called Probabilistic Congestion Notification (PCN). This scheme makes use of the 1-bit Explicit Congestion Notification (ECN) field in the Internet Protocol (IP) header. It allows the source to estimate the exact level of congestion at each intermediate queue. By knowing this, the source could take avoiding action either by adapting its sending rate or by using alternate routes. The estimation mechanism makes use of time series analysis both to improve the quality of the congestion estimation and to predict, ahead of time, the congestion level which subsequent packets will encounter. The proposed protocol is tested in ns-2 simulator using a background of real Internet traffic traces. Results show that the methods can successfully calculate the congestion at any queue along the path with low error levels.
Keywords
Internet; queueing theory; telecommunication congestion control; telecommunication signalling; telecommunication traffic; time series; transport protocols; Internet protocol header; Internet traffic traces; estimation mechanism; explicit congestion notification field; full-path network congestion forecasting; intermediate queue; ns-2 simulator; one bit signalling; packet marking; probabilistic congestion notification; time series analysis; transmission control protocol; Communications Society; Educational institutions; Internet; Personal communication networks; Protocols; Root mean square; TCPIP; Testing; Time series analysis; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2010 IEEE International Conference on
Conference_Location
Cape Town
ISSN
1550-3607
Print_ISBN
978-1-4244-6402-9
Type
conf
DOI
10.1109/ICC.2010.5502644
Filename
5502644
Link To Document