Automatic Rule Derivation for Adaptive Architectures

This paper discusses on-going work in adaptive architectures concerning automatic adaptation rule derivation. Adaptation is rule-action based but deriving rules that meet the adaptation goals are tedious and error prone. We present an approach that uses model-driven derivation and training for automatically deriving adaptation rules, and exemplify this in an environment for scientific computing.

• Type: Conference
• Year: 2008
• Where: WICSA
• Authors: Jesper Andersson, Morgan Ericsson, Welf Löwe
• Keywords: Adaptation Goals, Adaptation Rule Derivation, Model-driven Derivation, Software Engineering, WICSA 2008