• DocumentCode
    2282510
  • Title

    Unbalanced replication by evaluating popularity over web scalable storage

  • Author

    Chen, Ting-wei ; Madrazo, Carlos ; Tsuchiya, Takeshi ; Koyanagi, Keiichi

  • Author_Institution
    Dept. of Inf., Production & Syst., Waseda Univ., Kitakyushu, Japan
  • Volume
    4
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    189
  • Lastpage
    192
  • Abstract
    A peer-to-peer-based storage system has become a common way to alleviate network congestion and the limitation of storage space for providing file sharing, distributed computation, and instant messaging. Since the peer-to-peer technique has been used in file sharing, replications of a file is produced for a quick response and high availability. On the other hand, too much replications of a file may waste storage after the file become unpopular. The objective is to manage replications of file efficiently. In the proposed method, a popularity level is defined for evaluating the popularity of a file, used to determine the increasing or decreasing of the number of replications. The popularity level has three thresholds to determine replication of file. Thresholds are setting up by the 80-20 rule, and it changes dynamically overtime. We conclude that the popularity of file and its number of replication affect each other to use storage efficiently.
  • Keywords
    Internet; file organisation; message passing; peer-to-peer computing; Web scalable storage; distributed computation; file sharing; instant messaging; network congestion; peer to peer-based storage system; unbalanced replication management; Availability; Blogs; Data structures; Distributed databases; Peer to peer computing; Social network services; Streaming media; Distributed Interval Tree; file sharing; peer-to-peer distributed system; popularity; web scalable storage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5952831
  • Filename
    5952831