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An empirical study on the interactions between ALTO-assisted P2P overlays and ISP networks

Wang, C, Wang, N, Howarth, MP and Pavlou, G (2011) An empirical study on the interactions between ALTO-assisted P2P overlays and ISP networks In: 4th IEEE Workshop on Wireless and Internet Services, 2011-10-04 - 2011-10-07, Bonn, Germany.

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Abstract

The recently proposed Application Layer Traffic Optimization (ALTO) framework has opened up a new dimension for Internet traffic management that is complementary to the traditional application-agnostic traffic engineering (AATE) solutions currently employed by ISPs. In this paper, we investigate how ALTO-assisted Peer-to-Peer (P2P) traffic management functions interact with the underlying AATE operations, given that there may exist different application-layer policies in the P2P overlay. By considering specific P2P peer selection behaviors on top of a traffic-engineered ISP network, we conduct a performance analysis on how the application and network-layer respective performance is influenced by different policies at the P2P side. Our empirical study offers significant insight for the future design and analysis of cross-layer network engineering approaches that involve multiple autonomous optimization entities with both consistent and non-consistent policies.

Item Type: Conference or Workshop Item (Paper)
Additional Information:

© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Divisions: Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Depositing User: Symplectic Elements
Date Deposited: 02 Mar 2012 10:38
Last Modified: 23 Sep 2013 18:59
URI: http://epubs.surrey.ac.uk/id/eprint/107401

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