Large-scale computer systems present numerous challenges: from Grids and clouds to enterprise datacenters and Internet services, resources and applications must be managed to maximize performance and power efficiency while maintaining predictable and reliable behavior in the face of varying workloads and failures. A system that addresses these challenges by integrating monitoring, decision processing and actuation is an Autonomic Computing System.
Research in autonomic computing spans a variety of areas, from computer systems, architecture, databases and networks to machine learning and control theory. The purpose of ICAC is to bring together researchers and practitioners across these disciplines to address the multiple facets of self-management in computing systems and applications.
