Autonomic Computing and Networking

Introduces a general-purpose autonomic computing framework designed to create self-managing IT systems that function without human intervention. The authors present an architectural model centered on a reconfigurable policy engine capable of managing diverse software and hardware resources through standardized adaptors. By integrating probabilistic model checking, the framework allows systems to verify and optimize their own behavior based on high-level utility-function policies. The source outlines a four-step development method and validates its effectiveness through case studies ranging from CPU allocation and disk drive power management to cluster availability. Ultimately, the research aims to reduce the complexity and cost of building autonomous environments by encouraging component reuse and architectural standardization.

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