• DocumentCode
    1298238
  • Title

    Adaptive load sharing in homogeneous distributed systems

  • Author

    Eager, Derek L. ; Lazowska, Edward D. ; Zahorjan, John

  • Author_Institution
    Dept. of Comput. Sci., Saskatchewan Univ., Saskatoon, Sask., Canada
  • Issue
    5
  • fYear
    1986
  • fDate
    5/1/1986 12:00:00 AM
  • Firstpage
    662
  • Lastpage
    675
  • Abstract
    Rather than proposing a specific load sharing policy for implementation, the authors address the more fundamental question of the appropriate level of complexity for load sharing policies. It is shown that extremely simple adaptive load sharing policies, which collect very small amounts of system state information and which use this information in very simple ways, yield dramatic performance improvements. These policies in fact yield performance close to that expected from more complex policies whose viability is questionable. It is concluded that simple policies offer the greatest promise in practice, because of their combination of nearly optimal performance and inherent stability.
  • Keywords
    distributed processing; homogeneous distributed systems; inherent stability; load sharing; optimal performance; performance improvements; system state information; Adaptation models; Adaptive systems; Analytical models; Load modeling; Probes; Program processors; Time factors; Design; load sharing; local area networks; performance; queueing models; threshold policies;
  • fLanguage
    English
  • Journal_Title
    Software Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-5589
  • Type

    jour

  • DOI
    10.1109/TSE.1986.6312961
  • Filename
    6312961