Topics of interest include, but are not limited to, the following:

• Autonomic computing systems that exhibit autonomic characteristics, such as self-configuration, self-optimization,  self-healing, self-protection, and self-governance.

  Fundamental scientific aspects of self-managing systems: understanding, controlling, and/or exploiting emergent behavior; methods to automate manual operations; implementation of new device, network and system functionality; behavior orchestration.

• Software architectures for self-managing systems, based on appropriate supporting technologies such as Grid Services, agent-based systems, Web Services, model-based systems or novel paradigms such as biological, economic or social computing.

• System-level technologies, middleware or services that entail interactions among two or more elements of self-managing components, devices and systems.

• Toolkits, environments, models, languages, runtime and compiler technologies for building self-managing components, systems and applications.

  Self-managing components, such as server, storage, network, mobile device, data center or specific application elements. Emphasis should be placed on techniques or lessons that may generalized to other components.

  Interfaces to autonomic systems, including user interfaces, mechanisms for controlling behavior, and techniques for defining, distributing, and understanding policies.

• Applications of autonomic systems with respect to future Internet and other next generation architectures.

• Experiences with autonomic systems or component prototypes: measurements, evaluations, or analyses of system behavior, user studies, or experiences with large-scale deployments of self-managing systems or applications.

• General management topics, such as minimization of power/energy consumption, modeling of communications entities (e.g., SLAs), negotiation/conversation support, behavior enforcement, tie in with IT governance, and legacy system support.