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Predicting Internet Network Distance with Coordinates-Based Approaches

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BibTeX

@MISC{_predictinginternet,
    author = {},
    title = {Predicting Internet Network Distance with Coordinates-Based Approaches},
    year = {}
}

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Abstract

Abstract — In this paper, we propose to use coordinates-based mechanisms in a peer-to-peer architecture to predict Internet network distance (i.e. round-trip propagation and transmission delay). We study two mechanisms. The first is a previously proposed scheme, called the triangulated heuristic, which is based on relative coordinates that are simply the distances from a host to some special network nodes. We propose the second mechanism, called Global Network Positioning (GNP), which is based on absolute coordinates computed from modeling the Internet as a geometric space. Since end hosts maintain their own coordinates, these approaches allow end hosts to compute their inter-host distances as soon as they discover each other. Moreover coordinates are very efficient in summarizing inter-host distances, making these approaches very scalable. By performing experiments using measured Internet distance data, we show that both coordinates-based schemes are more accurate than the existing state of the art system IDMaps, and the GNP approach achieves the highest accuracy and robustness among them. I.

Keyphrases

internet network distance    coordinates-based approach    end host    inter-host distance    geometric space    triangulated heuristic    peer-to-peer architecture    measured internet distance data    relative coordinate    global network positioning    gnp approach    transmission delay    coordinates-based scheme    special network node    absolute coordinate    second mechanism    round-trip propagation    coordinates-based mechanism    art system idmaps   

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