Percorrer por autor "Barbosa, Ricardo"
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- An Ada framework for QoS-Aware applicationsPublication . Pinho, Luís Miguel; Nogueira, Luís; Barbosa, RicardoIn this paper we present a framework for managing QoS-aware applications in a dynamic, ad-hoc, distributed environment. This framework considers an available set of wireless/mobile and fixed nodes, which may temporally form groups in order to process a set of related services, and where there is the need to support different levels of service and different combinations of quality requirements. This framework is being developed both for testing and validating an approach, based on multidimensional QoS properties, which provides service negotiation and proposal evaluation algorithms, and for assessing the suitability of the Ada language to be used in the context of dynamic, QoS-aware systems.
- Mechanisms for reflection-based monitoring of real- time systemsPublication . Barbosa, Ricardo; Pinho, Luís MiguelMonitoring is a very important aspect to consider when developing real-time systems. However, it is also important to consider the impact of the monitoring mechanisms in the actual application. The use of Reflection can provide a clear separation between the real-time application and the implemented monitoring mechanisms, which can be introduced (reflected) into the underlying system without changing the actual application part of the code. Nevertheless, controlling the monitoring system itself is still a topic of research. The monitoring mechanisms must contain knowledge about “how to get the information out”. Therefore, this paper presents the ongoing work to define a suitable strategy for monitoring real-time systems through the use of Reflection.
- Online Social Networks as Sensors in Smart EnvironmentsPublication . Barbosa, Ricardo; Santos, RicardoSmart environments need to successfully identify their user needs, personality and behaviour in order to prepare appropriate interactions when facing different types of events. Personality is strongly associated with human behaviour and can be predicted with relatively accuracy by analysing online social profiles. Due to a constant presence in the lives of their users, online social networks have a decidedly strong social impact leading to a blur between offline and virtual life as well as the concept of digital identity and provide a rich source of data that can be used to profile and understand personal preferences and interactions of an individual. Users reveal a lot about themselves and share their personal preferences in a freely way and this paper exploits a new approach for smart environments to correctly identify their user’s personality, using online social network as a sensor. Keywords—Online social networks,