• DocumentCode
    2904009
  • Title

    Fuzzy Logic Based Algorithm for Disk Scheduling Policy

  • Author

    Talip, M. ; Abdalla, Aisha Hassan ; Asif, Ahmed ; Aburas, Abdurazzag Ali

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Int. Islamic Univ. Malaysia, Kuala Lumpur, Malaysia
  • fYear
    2009
  • fDate
    4-7 Dec. 2009
  • Firstpage
    746
  • Lastpage
    749
  • Abstract
    Hard disk is the important component in computer system as data storage device. It is being used to store large amount of information in all modern computers. Disk performance can be improved by incorporating disk scheduling optimization for satisfy pending request in the disk queue. Operating system, being the interface between the user and the hardware, has the responsibility to use hardware efficiently. Current algorithm have not knowledge about the additional information provided by operating system and not been used for improvement of the seeking and/or tracking accessing. The paper present fuzzy model knowledge based for improving the disk scheduling. We use the Matlab implementation of this algorithm to compare and contrast the output with existing algorithms. Incorporating knowledge-based scheduling policy using fuzzy logic improves overall system behavior. The performance of the new disk scheduling algorithm based on fuzzy logic shows that the seek distance movement could be decreased by applying our methodology.
  • Keywords
    fuzzy logic; hard discs; knowledge based systems; operating systems (computers); scheduling; Matlab; computer system; data storage device; disk scheduling policy; fuzzy logic based algorithm; fuzzy model knowledge base system; hard disk; knowledge-based scheduling policy; operating system; Bandwidth; Control systems; Fuzzy logic; Hard disks; Hardware; Magnetic heads; Operating systems; Processor scheduling; Scheduling algorithm; Time measurement; Hard disk; disk scheduling; fuzzy logic; operating system; storage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Pattern Recognition, 2009. SOCPAR '09. International Conference of
  • Conference_Location
    Malacca
  • Print_ISBN
    978-1-4244-5330-6
  • Electronic_ISBN
    978-0-7695-3879-2
  • Type

    conf

  • DOI
    10.1109/SoCPaR.2009.151
  • Filename
    5368672