Charles Gouin-Vallerand

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Autonomic Computing Self-Configuration /Organization can simplify the complexity of software deployment, management and utilization in pervasive environments such as smart spaces. Software management complexity in pervasive environments is a serious problem, which leads to high management costs and slow down the broad utilization of the pervasive(More)
The presence of a multitude of heterogeneous devices in a smart home environment create a whole puzzle when comes the time to deploy, update, or manage applications on these devices. The configuration and the updating of applications in that context can be expensive, as well as resource and time consuming, especially when there are several similar(More)
This paper presents a universal ontology for smart environments aiming to overcome the limitations of the existing ontologies. We enrich our ontology by adding new environmental aspects such as the referentiality and environmental change, that can be used to describe domains as well as applications. We show through a case study how our ontology is used and(More)
The Autonomic Pervasive Computing can simplify the complexity of the configuration, maintenance and management of pervasive environments such as smart spaces. The Pervasive Computing is a paradigm where the information processes are distributed in the environment components, bringing processes more closer to the information context. On the other hand, the(More)
Context-aware software provides adapted services to users or other software components. On the other hand, Autonomic Pervasive Computing uses Context to reduce the complexity of pervasive system utilization, management and maintenance. This paper introduces two Context-awareness models, the macro and micro approaches, that define and integrate contextual(More)
The self-configuration process can simplify the complexity and reduce the cost of the management and deployment of devices, applications and services in smart spaces. Mechanisms inspired from the Autonomic Computing and Pervasive Computing can be used to automate management of the heterogeneous space's component. In this paper, we present our work on(More)
By knowing more the usage of mobile application on smart phone, it is possible to predict which applications will be used next. This kind of information is particularly interesting from a recommendation system point of view. In this paper, we present an analysis of the transitions between application usages on the data collected by the University of(More)