Abstract
The models@runtime pattern proposes to leverage models as executable
artefacts. A runtime model describing the state of the system is causally
connected to the running system. Models@runtime engines typically play an active
role in the definition of the adaptation plan that specifies the set of concrete
tasks describing how the system should be adapted to reflect the change made on
the runtime model. However, the generation of such plans generally relies on a set
of predefined rules and the resulting plan is thus arbitrarily derived. In this paper
we present an evolution of the models@runtime pattern with: (i) a DSL for the
specification of adaptation plans and (ii) a runtime environment to enact such adaptation
plans. The proposed approach has been applied to the Cloud Modelling
Framework (CLOUDMF).
artefacts. A runtime model describing the state of the system is causally
connected to the running system. Models@runtime engines typically play an active
role in the definition of the adaptation plan that specifies the set of concrete
tasks describing how the system should be adapted to reflect the change made on
the runtime model. However, the generation of such plans generally relies on a set
of predefined rules and the resulting plan is thus arbitrarily derived. In this paper
we present an evolution of the models@runtime pattern with: (i) a DSL for the
specification of adaptation plans and (ii) a runtime environment to enact such adaptation
plans. The proposed approach has been applied to the Cloud Modelling
Framework (CLOUDMF).
