• DocumentCode
    166677
  • Title

    POSTER: Optimizing scientific file I/O patterns using advice based knowledge

  • Author

    Congiu, Giuseppe ; Grawinkel, Matthias ; Padua, Federico ; Morse, James ; Suss, Tim ; Brinkmann, Andre

  • Author_Institution
    Emerging Technol. Group, Seagate Technol., Havant, UK
  • fYear
    2014
  • fDate
    22-26 Sept. 2014
  • Firstpage
    282
  • Lastpage
    283
  • Abstract
    Before us, other works have used data prefetching to boost applications performance [1]-[8]. Our approach differs from these works since we do not rely on precise I/O pattern information to predict and prefetch every chunck of data in advance. Instead we use data prefetching to group many small requests in a few big ones, improving applications performance and utilization of the whole storage system. Moreover, we provide the infrastructure that enables users to access file system specific interfaces for guided I/O without modifying applications and hiding the intrinsic complexity that such interfaces introduce.
  • Keywords
    cache storage; data structures; storage management; advice based knowledge; data prefetching; file pattern optimization; file system interfaces; storage system utilization; Kernel; Sockets; Sun;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing (CLUSTER), 2014 IEEE International Conference on
  • Conference_Location
    Madrid
  • Type

    conf

  • DOI
    10.1109/CLUSTER.2014.6968763
  • Filename
    6968763