• DocumentCode
    573300
  • Title

    A Quantitative Evaluation Model for Choosing Efficient Redundancy Strategies over Clouds

  • Author

    Wang, Jianzong ; Gong, Weijiao ; Xie, Changsheng

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2012
  • fDate
    28-30 June 2012
  • Firstpage
    217
  • Lastpage
    226
  • Abstract
    Reliability has always been one of the key issues that draw widespread concerns since the rise of cloud computing. While most cloud systems use replication to ensure high reliability, some scholars incline to try erasure codes in the interest of space efficiency. Comparison of performance and reliability between replication and erasure coding have been widely analyzed by many researchers, but effort to make a thorough understanding of this issue is quite few. In this paper, we defined a quantitative model aimed at comprehensively evaluating the relative merits of the two redundancy schemes in seven metrics (availability, reliability, storage, performance, bandwidth, energy and dollar cost) which will be detailed next, and we exploited this model to provide a reference for Cloud Service Providers (CSPs for short) to set up the right configurations for their cloud file systems. In addition, we presented a scheme to decide on which one of the two redundancy schemes more suitable for a given cloud storage system.
  • Keywords
    cloud computing; redundancy; software reliability; storage management; CSP; availability; bandwidth; cloud computing; cloud file systems; cloud service providers; cloud storage system; dollar cost; energy; erasure coding; performance; quantitative evaluation model; redundancy strategy; reliability; replication; space efficiency; Availability; Bandwidth; Cloud computing; Encoding; Measurement; Redundancy; cloud service providers; cloud storage; erasure code; quantitative evaluation model; replication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Architecture and Storage (NAS), 2012 IEEE 7th International Conference on
  • Conference_Location
    Xiamen, Fujian
  • Print_ISBN
    978-1-4673-1889-1
  • Type

    conf

  • DOI
    10.1109/NAS.2012.31
  • Filename
    6310896