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Cross-Layer Peer-to-Peer Track Identification and Optimization Based on Active Networking

Dedinski, I. and DeMeer, H. and Han, L. and Mathy, L. and Pezaros, D. and Sventek, J. and Xiaoying, Z. (2005) Cross-Layer Peer-to-Peer Track Identification and Optimization Based on Active Networking. In: Seventh Annual International Working Conference on Active and Programmable Networks (IWAN'05), 2005-11-212005-11-23, CICA, Sophia Antipolis, French Riviera, La Cote d'Azur, France.

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    Abstract

    P2P applications appear to emerge as ultimate killer applications due to their ability to construct highly dynamic overlay topologies with rapidly-varying and unpredictable traffic dynamics, which can constitute a serious challenge even for significantly over-provisioned IP networks. As a result, ISPs are facing new, severe network management problems that are not guaranteed to be addressed by statically deployed network engineering mechanisms. As a first step to a more complete solution to these problems, this paper proposes a P2P measurement, identification and optimisation architecture, designed to cope with the dynamicity and unpredictability of existing, well-known and future, unknown P2P systems. The purpose of this architecture is to provide to the ISPs an effective and scalable approach to control and optimise the traffic produced by P2P applications in their networks. This can be achieved through a combination of different application and network-level programmable techniques, leading to a crosslayer identification and optimisation process. These techniques can be applied using Active Networking platforms, which are able to quickly and easily deploy architectural components on demand. This flexibility of the optimisation architecture is essential to address the rapid development of new P2P protocols and the variation of known protocols.

    Item Type: Conference or Workshop Item (Paper)
    Journal or Publication Title: Seventh Annual International Working Conference on Active and Programmable Networks (IWAN'05)
    Uncontrolled Keywords: cs_eprint_id ; 1212 cs_uid ; 1
    Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
    Departments: Faculty of Science and Technology > School of Computing & Communications
    ID Code: 12740
    Deposited By: ep_importer_comp
    Deposited On: 19 Jun 2008 09:12
    Refereed?: Yes
    Published?: Published
    Last Modified: 17 Sep 2013 09:57
    Identification Number:
    URI: http://eprints.lancs.ac.uk/id/eprint/12740

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