Self-Optimization in Autonomic Systems

Autonomic computing is a research area that extends to numerous different fields of science. We describe ho w autonomic computing can be used to overcome many problems the IT industry is facing today. Autonomic computing systems are, by definition, self-configuring, self-healing, self-o ptimizing and self-protecting. We show some examples of existing syst ems that have these self-* capabilities. We look at what utility functions are and how they can be used in self-optimization. We describe a two-level architecture for self-optimization in a data center scenario. The architecture is flexible and suitsvery different kinds of applications. It supports fair resource allocation in a system where there can be very heterogeneous applicatio ns using shared resources.

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