Unbalanced replication by evaluating popularity over web scalable storage

Ting Wei Chen, Carlos Madrazo, Takeshi Tsuchiya, Keiichi Koyanagi

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

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings - 2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011
Pages189-192
Number of pages4
DOIs
Publication statusPublished - 2011 Aug 25
Event2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011 - Shanghai, China
Duration: 2011 Jun 102011 Jun 12

Publication series

NameProceedings - 2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011
Volume4

Conference

Conference2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011
CountryChina
CityShanghai
Period11/6/1011/6/12

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Keywords

  • Distributed Interval Tree
  • file sharing
  • peer-to-peer distributed system
  • popularity
  • web scalable storage

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Control and Systems Engineering

Cite this

Chen, T. W., Madrazo, C., Tsuchiya, T., & Koyanagi, K. (2011). Unbalanced replication by evaluating popularity over web scalable storage. In Proceedings - 2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011 (pp. 189-192). [5952831] (Proceedings - 2011 IEEE International Conference on Computer Science and Automation Engineering, CSAE 2011; Vol. 4). https://doi.org/10.1109/CSAE.2011.5952831