Towards pervasive supervision for autonomic systems

One of the key motivations for the provisioning of autonomic communication features in next generation services is to reduce the need of human inference for management tasks. This however means essentially that system control is delegated to the system itself i.e. the system operator gives up control to a certain extent. The consequence is that autonomic systems might deviate from intended states and behaviors, may show inconsistent or unwanted ones. We, propose an approach to develop control structures complementary to distributed, heterogeneous services. We concentrate on necessary properties of those control structures, and furthermore on issues like self-applicability and self-evolution.