Autonomic Computing

Scientific Challenges

The success of autonomic computing will hinge on the extent to which theorists can identify universal principles that span the multiple levels at which autonomic systems can exist—from systems to enterprises to economies.

Behavioral Abstractions and Models

Defining appropriate abstractions and models for understanding, controlling, and designing emergent behavior in autonomic systems is the challenge at the heart of autonomic computing. We need fundamental mathematical work aimed at understanding how the properties of self-configuration, self-optimization, self-maintenance, and robustness arise from or depend on the behaviors, goals, and adaptivity of individual autonomic elements; the pattern and type of interactions among ...