• DocumentCode
    3321084
  • Title

    Analysis of self-similarity in I/O workload using structural modeling

  • Author

    Gomez, Maria E. ; Santonja, Vicente

  • Author_Institution
    Dept. de Inf. de Sistemas y Computadores, Univ. Politecnica de Valencia, Spain
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    234
  • Lastpage
    242
  • Abstract
    Demonstrates that disk-level I/O requests are self-similar in nature. We show evidence (both visual and mathematical) that I/O accesses are consistent with self-similarity. For this analysis, we have used two sets of disk activity traces collected from various systems over different periods of time. In addition to studying the aggregated I/O workload that is directed to the storage system, we perform a structural modeling of the workload in order to understand the underlying causes that produce the observed self-similarity. This structural modeling shows that self-similar behavior can be explained by combining two different approaches: the on/off source model and Cox´s model. The former applies to those processes that remain active during the whole trace, while the latter applies to sources that show a very short activity time
  • Keywords
    disc storage; fractals; input-output programs; performance evaluation; Cox´s model; I/O accesses; I/O workload; activity time; disk activity traces; disk-level I/O requests; on/off source model; self-similarity; storage system; structural modeling; Data mining; Data security; Pattern analysis; Performance analysis; Predictive models; Pressing; Proposals;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling, Analysis and Simulation of Computer and Telecommunication Systems, 1999. Proceedings. 7th International Symposium on
  • Conference_Location
    College Park, MD
  • Print_ISBN
    0-7695-0381-0
  • Type

    conf

  • DOI
    10.1109/MASCOT.1999.805060
  • Filename
    805060