DocumentCode :
1673052
Title :
An End-to-End Performance Inference Technique for Peer-to-Peer Networks
Author :
Feng, Benjamin Zhong ; Huang, Changcheng ; Devetsikiotis, Michael
Author_Institution :
SCE Dept, Carleton Univ., Ottawa, ON
fYear :
2008
Firstpage :
1
Lastpage :
5
Abstract :
For voice/video applications that are based on Peer-to-Peer (P2P) models, ensuring the end-to-end Quality of Service (QoS) is crucial, especially if users are paying fees. In this paper we propose an End-to-end Performance Inference Technique (EPIT) that uses a prediction-based approach to map the ingress traffic levels of the P2P network to the end-to-end QoS in the network. Furthermore, by coupling Simulated Annealing (SA) with EPIT, we describe a traffic engineering solution in such a way that the QoS constraints are met while traffic flows into the network are maximized.
Keywords :
computer network performance evaluation; peer-to-peer computing; quality of service; simulated annealing; telecommunication traffic; QoS constraints; end-to-end performance inference technique; end-to-end quality of service; ingress traffic level; peer-to-peer networks; simulated annealing; traffic engineering; Bandwidth; Buffer overflow; Communication system traffic control; Costs; Delay estimation; Peer to peer computing; Probability; Quality of service; Telecommunication traffic; Traffic control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Conference_Location :
New Orleans, LO
ISSN :
1930-529X
Print_ISBN :
978-1-4244-2324-8
Type :
conf
DOI :
10.1109/GLOCOM.2008.ECP.286
Filename :
4698061
Link To Document :
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