Topics of interest include, but are not limited to:

Autonomic Cloud Computing

• Self-managing cloud services

• Autonomic resource and energy management in cloud computing

• Autonomic cloud applications and services

• Autonomic virtual cloud resources and services

• Cloud workload characterization and prediction

• Monitoring, modeling and analysis of cloud resources and services

• Anomaly behavior analysis of autonomic systems and services

Autonomics for Extreme Scales

• Large scale autonomic systems

• Self-optimizing and self-healing at peta-computing scale

• Self-managing middleware and tools for extreme scales

• Experiences in autonomic systems and applications at extreme scales (peta/exa-computing)

Autonomic Computing Foundations and Design Methods

• Evaluation, validation and quality and correctness assessment of autonomic loops

• Theoretical frameworks for modeling and analyzing autonomic computing systems, control and decision theory

• Model-based design, software engineering, formal methods, testing, programming languages and environments support

• Knowledge representation and visualization of behavior of autonomic systems and services

Autonomic Computing Systems, Tools and Applications

• Self-protection techniques of computing systems, networks and applications

• Stochastic analysis and prediction of autonomic systems and applications

• Benchmarks and tools to evaluate and compare different architectures to implement autonomic cloud systems

• High performance autonomic applications

• Self-* applications in science and engineering

• Self-* Human Machine Interface