Optimizing Quality of Service Using Fuzzy Control

  • Authors:
  • Yixin Diao;Joseph L. Hellerstein;Sujay Parekh

  • Affiliations:
  • -;-;-

  • Venue:
  • DSOM '02 Proceedings of the 13th IFIP/IEEE International Workshop on Distributed Systems: Operations and Management: Management Technologies for E-Commerce and E-Business Applications
  • Year:
  • 2002

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Abstract

The rapidgro wth of eCommerce increasingly means business revenues depend on providing good quality of service (QoS) for web site interactions. Traditionally, system administrators have been responsible for optimizing tuning parameters, a process that is time-consuming and skills-in tensive, and therefore high cost. This paper describes an approach to automating parameter tuning using a fuzzy controller that employs rules incorporating qualitative knowledge of the effect of tuning parameters. An example of such qualitative knowledge in the Apache web server is "MaxClients has a concave upward effect on response times." Our studies using a real Apache web server suggest that such a scheme can improve performance without human intervention. Further, we show that the controller can automatically adapt to changes in workloads.