• DocumentCode
    2236854
  • Title

    Adaptive I/O Scheduling for Distributed Multi-applications Environments

  • Author

    Lebre, Adrien ; Denneulin, Yves ; Huard, Guillaume ; Sowa, Przemyslaw

  • Author_Institution
    Lab. de Genie Inf., IMAG, Grenoble
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    343
  • Lastpage
    344
  • Abstract
    The aIOLi project aims at optimizing the I/O accesses within the cluster by providing a simple POSIX API, thus avoiding the constraints to use a dedicated parallel I/O library. This paper introduces an extension of aIOLi to address the issue of disjoint accesses generated by different concurrent applications in a cluster. In such a context, performance, fairness and response time are the criteria for which good tradeoffs have to be assessed. A test composed of two concurrent IOR benchmarks showed improvements on read accesses by a factor ranging from 3.5 to 35 with POSIX calls and from 3.3 to 5 with ROMIO
  • Keywords
    Unix; application program interfaces; processor scheduling; POSIX API; ROMIO; aIOLi project; adaptive I-O scheduling; dedicated parallel I-O library; distributed multiapplications environment; Concurrent computing; Constraint optimization; Delay; Distributed computing; File systems; Hardware; Libraries; Processor scheduling; Sparse matrices; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Distributed Computing, 2006 15th IEEE International Symposium on
  • Conference_Location
    Paris
  • ISSN
    1082-8907
  • Print_ISBN
    1-4244-0307-3
  • Type

    conf

  • DOI
    10.1109/HPDC.2006.1652175
  • Filename
    1652175