• DocumentCode
    680810
  • Title

    Content Espresso: A System for Large File Sharing Using Globally Dispersed Storage

  • Author

    Ando, Daisuke ; Kitamura, Masayuki ; Teraoka, Fumio ; Kaneko, Kunihiko

  • Author_Institution
    Grad. Sch. of Sci. & Technol., Keio Univ., Yokohama, Japan
  • Volume
    2
  • fYear
    2013
  • fDate
    2-5 Dec. 2013
  • Firstpage
    337
  • Lastpage
    340
  • Abstract
    Sharing files over the world with higher access throughput and with lower storage cost is a growing demand for the applications that use large files. However, the existing file sharing systems do not realize these two conflicted requests and no research has been found. This paper clarifies the requirements of a global large file sharing system and defines the design goal consisting of three users perspectives: fast retrieving, user defined file availability, and owner-based file management, and one system operators perspective: flexibility in bytes placement. Content Espresso satisfies this goal by approaching with four techniques: three sections model, distributed chunk storage, forward error correction, and UDP retrieving. Content Espresso delivers large files to a client utilizing as much bandwidth as the client access link even servers are located far away from the client.
  • Keywords
    distributed memory systems; file organisation; forward error correction; peer-to-peer computing; transport protocols; Content Espresso; UDP retrieving; bytes placement; design goal; distributed chunk storage; distributed storage system; file sharing systems; forward error correction; globally dispersed storage; owner-based file management; user defined file availability; Availability; Bandwidth; Educational institutions; Forward error correction; Memory; Servers; Throughput; Distributed Storage System; FEC; Flexible Redundancy; UDP Transfer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on
  • Conference_Location
    Bristol
  • Type

    conf

  • DOI
    10.1109/CloudCom.2013.162
  • Filename
    6735447