First International Conference on Autonomic Computing (ICAC'04) Autonomic Self-Optimization According to Business Objectives New York, New York May 17-May 18 ISBN: 0-7695-2114-2
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICAC.2004.19
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.
Citation:
Sarel Aiber, Dagan Gilat, Ariel Landau, Natalia Razinkov, Aviad Sela, Segev Wasserkrug, "Autonomic Self-Optimization According to Business Objectives," icac, pp.206-213, First International Conference on Autonomic Computing (ICAC'04), 2004 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||