Frederico Bublitz

A flexible middleware for service provision over heterogeneous pervasive networks

Pervasive computing has gained much attention from the research community due to the possibility of deploying the first pervasive environments. Therefore, many software solutions are emerging, with the intent of facilitating the development of pervasive applications. Within this scope, in this paper, we introduce a service oriented middleware for pervasive computing, enhanced with runtime flexibility, extensibility for applications, and heterogeneous service provision. Our goal is to enable the middleware and its applications to be adapted to changing operational scenarios. Furthermore, different protocols can be used to discover and access services

Computer systems power model estimation

The estimation of power models for computer systems is important for the development process of dynamic power managers. In this work, a power model is estimated based on a constrained linear least-squares technique.

Estimating computer systems power consumption for time scaled experiments

Power policies are widely applied at computer systems such as desktops, notebooks, and smartphones. For example, the timeout policy to turn off the display. A power management policy must be tested by measuring the power consumption of an experimental platform running workloads. Such tests must be fast enough to feedback the development process with valuable information about the power policy performance. In this work, we have presented a methodology for estimating computer systems power consumption for time scaled experiments. Using the proposed methodology, we have reduced the overall time for developing a power management policy.

Using location to infer user contextual information: A case study on pervasive advertising

Smartphones are available anytime and anywhere, enabling applications to determine the user location. In this work we investigate the hypothesis that it is possible to determine contextual information of the users based on the places they usually go. In this sense, we developed a model to infer such information and carried out an empirical experiment to validate the model. We also use the contextual information obtained from the model to increase the relevance of delivered advertisements in a scenario of pervasive advertising.

An infrastructure for developing context aware applications in pervasive environments

This paper presents the Lotus, an infrastructure to develop context-aware applications, providing the mechanisms for acquiring, representing, reasoning and delivering of contextual information. This infrastructure consists of a framework, which is composed by an API and a middleware, a language to represent contextual information and a mechanism to share and delivery contextual information.

Framework for developing applications for remote monitoring of people with dementia

Population aging indicates a high prevalence of chronic illnesses, such as Dementia. Dementia is a chronic and incurable disease that affects several areas of brain, including cognitive areas such as memory, attention, language, and problem solving. The effect of these symptoms causes disability and dependency and it is essential to have a continuous monitoring and assistance of the patients. The disease affects not only the people who have it, but also their caregivers and families, leading them to a physical and emotional overload. To overcome this challenge, it is necessary to reduce the need for physical presence of a caregiver, still providing a constant monitoring. In this work, we propose a framework to support the development of applications to monitor people with Dementia based on a pervasive computing infrastructure, using sensors and mobile devices. To validate the proposed framework, we developed a case study focused on dementia caused by Alzheimers disease.

Feasibility of a timeout power management policy

Timeout power management policies are widely used in mobile devices for saving power by switching on and off peripherals like display, hard disks, or network interfaces. However the selection of the timeout policy is usually based on heuristic approaches. In this case, a wrong timeout policy may increase the power consumption and degrade the performance. In this work, a probabilistic approach for optimizing both the power savings and performance is adopted to evaluate the feasibility of a timeout power management policy.