Stability in Context-Aware Pervasive Systems: A State-Space Modeling Approach

Abstract

This paper proposes a conceptual framework for context-awaresystems, inspired by the state-space modeling approach and proposes the concept of Stability as a means to characterize pervasive systems. We provide a collection of concepts concerning context, including Stability of contextaware pervasive systems and show how these concepts can be used in modeling context and actively maintaining stability and adaptation in a pervasive system. We experimentally evaluate these concepts using a genetic algorithm in a Smart Presentation Theatre scenario.