Design patterns for monitoring adaptive ULS systems

As applications grow in size and complexity, and computing infrastructure continues to evolve, it is increasingly difficult to build a system that satisfies all requirements and con-straints that might arise during its lifetime. As a result, there is increasing need for the software to adapt to new re-quirements and environmental conditions after the software has been deployed. Autonomic computing refers to a sys-tem that monitors itself based on high-level objectives and achieves, with minimal human guidance, self-management, and self-configuration. While progress has been made re-cently in applying rigorous development techniques to auto-nomic software, self-monitoring has received little attention. This paper describes a preliminary investigation into iden-tifying design patterns associated with the self-monitoring aspects of autonomic computing systems