Towards a Model Driven Autonomic Management System

Distributed software environments are increasingly complex and difficult to manage, as they integrate various legacy software with specific management interfaces. Moreover, the fact that management tasks are performed by humans leads to many configuration errors and low reactivity. This is particularly true in medium or large-scale distributed infrastructures. To address this issue, we explore the design and implementation of an autonomic management system. The main principle is to wrap legacy software pieces in components in order to administrate a software infrastructure as a component architecture. However, we observed that the interfaces of a component model are too low-level and difficult to use. Consequently, we explore the use of a model driven approach where several UML profiles are used to specify the different facets of an autonomic management policy.