• DocumentCode
    2798692
  • Title

    DORA: A Dynamic File Assignment Strategy with Replication

  • Author

    Tjioe, Jonathan ; Widjaja, Renata ; Lee, Abraham ; Xie, Tao

  • Author_Institution
    Comput. Sci. Dept., San Diego State Univ., San Diego, CA, USA
  • fYear
    2009
  • fDate
    22-25 Sept. 2009
  • Firstpage
    148
  • Lastpage
    155
  • Abstract
    Compared with numerous static file assignment algorithms proposed in the literature, very few investigations on the dynamic file allocation problem have been accomplished. Moreover, none of them has integrated file replication techniques into file assignment algorithms in a highly dynamic file system where files are created or deleted on the fly and their access patterns varied over time. We argue that file replication and file assignment can act in concert to boost the performance of parallel disk systems. In this paper, we propose a new dynamic file assignment strategy called DORA (dynamic round robin with replication). The advantages of DORA can be attributed to its two main characteristics. First, it takes the dynamic nature of file access patterns into account to adapt to a changing workload condition. Second, it utilizes file replication techniques to complement file assignment schemes so that system performance can be further improved. Experimental results demonstrate that DORA performs consistently better than existing algorithms.
  • Keywords
    replicated databases; storage allocation; DORA; dynamic file allocation problem; dynamic file assignment strategy; dynamic round robin with replication; file access patterns; integrated file replication techniques; parallel disk systems; static file assignment algorithms; Computer science; Cost function; Delay; File systems; Heuristic algorithms; Measurement; Parallel processing; Quality of service; Round robin; System performance; dynamic; file assignment problem; heat; replication; round robin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Processing, 2009. ICPP '09. International Conference on
  • Conference_Location
    Vienna
  • ISSN
    0190-3918
  • Print_ISBN
    978-1-4244-4961-3
  • Electronic_ISBN
    0190-3918
  • Type

    conf

  • DOI
    10.1109/ICPP.2009.8
  • Filename
    5362264