Uma infraestrutura para o desenvolvimento de aplicações pervasivas autoconfiguráveis.

Abstract

In the pervasive computing paradigm, the automation of tasks promotes an important feature of smart environments: the invisibility. On the other hand, researches on autonomic computing have achieved significant advances in the design of self-management systems. In this context, improving pervasive computing systems with autonomic features allows automating tasks based on contextual information. However, the heterogeneity and dynamism of pervasive environments create some challenges that need to be considered in the automation of those tasks. In this work, it is proposed an infrastructure for the development of self-configuring pervasive computing applications, which brings together techniques of pervasive and autonomic computing. Such infrastructure provides an extensible architecture where reasoning mechanisms can be used to adapt the environment based on contextual information. As proof of concept, an application example has been implemented to provide self-configuring for the Embedded Systems and Pervasive Computing Laboratory environment.