DocumentCode :
2042620
Title :
Bandwidth Provisioning in Internet Access Nodes Using EWMA and ADM Algorithms
Author :
Inaty, Elie ; Sleiman, Marwan
Author_Institution :
Dept. of Comput. Eng., Univ. of Balamand, Lebanon
fYear :
2007
fDate :
24-27 Nov. 2007
Firstpage :
528
Lastpage :
531
Abstract :
Nowadays there is a tremendous debate about the treatment required for managing the heavily loaded and expanding traffic demands. Building a universal communication system is extremely challenging, given the lack of scalable communication technologies. Researchers have recently been seeking for solutions and expansions for the existing networking models; they have been focusing on optimizing the use of available resources like bandwidth and hardware. In this paper, we studied Internet bandwidth provisioning in Internet access nodes. We gathered Internet traffic and then we use the exponentially weighted moving average (EWMA) and the adaptive dynamic model (ADM) algorithms to predict the traffic bandwidth. Using real Internet traffic, we have shown that the EWMA algorithm is better that the ADM algorithm in provisioning of bandwidth in Internet access nodes.
Keywords :
Internet; bandwidth allocation; moving average processes; telecommunication traffic; ADM algorithms; EWMA algorithms; Internet access nodes; Internet traffic; adaptive dynamic model algorithms; bandwidth provisioning; exponentially weighted moving average algorithms; universal communication system; Bandwidth; Communication system traffic; Communications technology; Hardware; Heuristic algorithms; Internet; Prediction algorithms; Predictive models; Telecommunication traffic; Traffic control; ADM; EWMA; Internet traffic; dynamic bandwidth provisioning; internet pricing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4244-1235-8
Electronic_ISBN :
978-1-4244-1236-5
Type :
conf
DOI :
10.1109/ICSPC.2007.4728372
Filename :
4728372
Link To Document :
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