• DocumentCode
    3576300
  • Title

    Data Replication Placement Strategy Based On Bidding Mode for Cloud Storage Cluster

  • Author

    Hong Zhang ; Bing Lin ; Zhanghui Liu ; Wenzhong Guo

  • Author_Institution
    Fujian Provincial Key Lab. of Network Comput. & Intell. Inf. Process., Fuzhou Univ., Fuzhou, China
  • fYear
    2014
  • Firstpage
    207
  • Lastpage
    212
  • Abstract
    The data availability in large-scale cloud storage has been increasing by means of data replica. To provide cost-effective availability, minimize the response time of applications and make load balancing for cloud storage, a new replica placement policy with bidding thought is proposed. The policy combines the own characteristics of replica and factors of bidding mode(e.g. bidding time, bidding standard, bidding price etc.) and starts replica bidding activity when the file data availability cannot meet the given requirement. Replica placement is based on capacity and accessing probability of data nodes. The experimental results show that our policy has a better performance in both load balance and response time comparing to the static replica policy and CDRM scheme.
  • Keywords
    cloud computing; replicated databases; resource allocation; tendering; application response time minimization; bidding mode; bidding price; bidding standard; bidding time; data availability; data node capacity; data node probability accessibility; data replication placement strategy; file data availability; large-scale cloud storage cluster; load balancing; replica bidding activity; replica characteristics; replica placement policy; Availability; Bandwidth; Cloud computing; Peer-to-peer computing; Standards; System performance; Time factors; Bidding Mode; Cloud Storage; Data Replica; Load Balance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Information System and Application Conference (WISA), 2014 11th
  • Print_ISBN
    978-1-4799-5726-2
  • Type

    conf

  • DOI
    10.1109/WISA.2014.45
  • Filename
    7058014