DDFTP: Dual-direction FTP

Jameela Al-Jaroodi, Nader Mohamed

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

    36 Citations (Scopus)

    Abstract

    This paper proposes a fast and efficient concurrent technique for downloading large files from replicated FTP servers available over the Internet, Cloud and Grid environments. This technique utilizes the availability of replicated FTP servers to enhance file download times through concurrent downloads of file blocks. As this technique enhances the download time, it imposes no extra communication and processing overhead compared to other concurrent or parallel FTP techniques. The proposed technique requires no coordination between servers and relies on the features of TCP to provide an efficient load balancing mechanism among multiple heterogeneous replicated FTP servers. This mechanism also provides an efficient load balancing solution to efficiently utilize available network and server resources on dynamic environments with varying network and FTP servers' loads. The proposed technique has been implemented and evaluated and the results show considerable performance gains for file downloading compared to other approaches.

    Original languageEnglish
    Title of host publicationProceedings - 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2011
    Pages504-513
    Number of pages10
    DOIs
    Publication statusPublished - 2011
    Event11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2011 - Newport Beach, CA, United States
    Duration: May 23 2011May 26 2011

    Publication series

    NameProceedings - 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2011

    Other

    Other11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2011
    Country/TerritoryUnited States
    CityNewport Beach, CA
    Period5/23/115/26/11

    Keywords

    • FTP
    • concurrent software
    • distributed FTP
    • heterogeneous systems

    ASJC Scopus subject areas

    • Computational Theory and Mathematics
    • Software

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