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