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Autonomic Computing, International Conference on (2004)
New York, New York
May 17, 2004 to May 18, 2004
ISBN: 0-7695-2114-2
pp: 206-213
Segev Wasserkrug , IBM Haifa Research Lab
Dagan Gilat , IBM Haifa Research Lab
Aviad Sela , IBM Haifa Research Lab
Ariel Landau , IBM Haifa Research Lab
Natalia Razinkov , IBM Haifa Research Lab
Sarel Aiber , IBM Haifa Research Lab
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.
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CITATION
Segev Wasserkrug, Dagan Gilat, Aviad Sela, Ariel Landau, Natalia Razinkov, Sarel Aiber, "Autonomic Self-Optimization According to Business Objectives", Autonomic Computing, International Conference on, vol. 00, no. , pp. 206-213, 2004, doi:10.1109/ICAC.2004.19
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