• DocumentCode
    3019248
  • Title

    Autonomic self-optimization according to business objectives

  • Author

    Aiber, Sarel ; Gilat, Dagan ; Landau, Ariel ; Razinkov, Natalia ; Sela, Aviad ; Wasserkrug, Segev

  • Author_Institution
    IBM Haifa Res. Lab, Israel
  • fYear
    2004
  • fDate
    17-18 May 2004
  • Firstpage
    206
  • Lastpage
    213
  • Abstract
    A central challenge in the runtime management of computing environments is the necessity to keep these environments continuously optimized. In this paper we introduce a new paradigm, which focuses on self-optimization according to high-level business objectives such as maximizing revenues. It replaces the more traditional optimizations that are based upon IT measures such as resource availability. A general, autonomous process is defined to enable such optimizations, and a set of technologies and methodologies is introduced to support the implementation of such a process. The paper concludes with two types of validation tests carried out on an eCommerce site, that demonstrate the value and applicability of this approach.
  • Keywords
    electronic commerce; optimisation; self-adjusting systems; autonomic self-optimization; business objectives; computing environments; e-commerce; resource availability; revenue maximization; runtime management; Availability; Current measurement; Delay; Electronic commerce; Environmental management; Hardware; Investments; Optimization methods; Runtime environment; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Autonomic Computing, 2004. Proceedings. International Conference on
  • Print_ISBN
    0-7695-2114-2
  • Type

    conf

  • DOI
    10.1109/ICAC.2004.1301365
  • Filename
    1301365