Xunlei: Peer-assisted download acceleration on a massive scale

Prithula Dhungel, Keith Ross, Moritz Steiner, Ye Tian, Xiaojun Hei

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    We take a close look at Xunlei, an enormously popular download acceleration application in China. Xunlei forms a complex ecosystem, with Xunlei peers extensively interacting with independent HTTP and FTP servers, cyberlockers (such as megaupload and hotfile), the BitTorrent and eDonkey file-sharing systems, as well as with other Xunlei peers. After performing a protocol analysis on Xunlei, we develop a comprehensive measurement infrastructure, enabling us to gain new insights into the scale of content, swarm sizes, and several unique characteristics of the system mechanisms in Xunlei.

    Original languageEnglish (US)
    Title of host publicationPassive and Active Measurement - 13th International Conference, PAM 2012, Proceedings
    Pages231-241
    Number of pages11
    Volume7192 LNCS
    DOIs
    StatePublished - 2012
    Event13th International Conference on Passive and Active Measurement, PAM 2012 - Vienna, Austria
    Duration: Mar 12 2012Mar 14 2012

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume7192 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other13th International Conference on Passive and Active Measurement, PAM 2012
    CountryAustria
    CityVienna
    Period3/12/123/14/12

    Fingerprint

    HTTP
    Ecosystems
    Servers
    BitTorrent
    Network protocols
    Swarm
    Ecosystem
    China
    Sharing
    Server
    Infrastructure

    ASJC Scopus subject areas

    • Computer Science(all)
    • Theoretical Computer Science

    Cite this

    Dhungel, P., Ross, K., Steiner, M., Tian, Y., & Hei, X. (2012). Xunlei: Peer-assisted download acceleration on a massive scale. In Passive and Active Measurement - 13th International Conference, PAM 2012, Proceedings (Vol. 7192 LNCS, pp. 231-241). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7192 LNCS). https://doi.org/10.1007/978-3-642-28537-0_23

    Xunlei : Peer-assisted download acceleration on a massive scale. / Dhungel, Prithula; Ross, Keith; Steiner, Moritz; Tian, Ye; Hei, Xiaojun.

    Passive and Active Measurement - 13th International Conference, PAM 2012, Proceedings. Vol. 7192 LNCS 2012. p. 231-241 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7192 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Dhungel, P, Ross, K, Steiner, M, Tian, Y & Hei, X 2012, Xunlei: Peer-assisted download acceleration on a massive scale. in Passive and Active Measurement - 13th International Conference, PAM 2012, Proceedings. vol. 7192 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7192 LNCS, pp. 231-241, 13th International Conference on Passive and Active Measurement, PAM 2012, Vienna, Austria, 3/12/12. https://doi.org/10.1007/978-3-642-28537-0_23
    Dhungel P, Ross K, Steiner M, Tian Y, Hei X. Xunlei: Peer-assisted download acceleration on a massive scale. In Passive and Active Measurement - 13th International Conference, PAM 2012, Proceedings. Vol. 7192 LNCS. 2012. p. 231-241. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-28537-0_23
    Dhungel, Prithula ; Ross, Keith ; Steiner, Moritz ; Tian, Ye ; Hei, Xiaojun. / Xunlei : Peer-assisted download acceleration on a massive scale. Passive and Active Measurement - 13th International Conference, PAM 2012, Proceedings. Vol. 7192 LNCS 2012. pp. 231-241 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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