Rodrigo Santos de Souza

Towards a distributed architecture for context-aware mobile applications in UbiComp

The applications in Ubiquitous Computing (UbiComp) environments must be aware of their contexts of interest and adapt to changes in them. Thus, a major research challenge in the area of UbiComp is related to context awareness. Considering the high distribution, heterogeneity, dynamism, and mobility of ubiquitous environments, this paper presents an architectural model for context awareness, called EXEHDA-UC (Execution Environment for Highly Distributed Applications - Ubiquitous Context awareness). The proposal includes elements to support contextual data acquisition, actuation on the environment, and processing of contextual information. We consider that the main contribution of this work is an architecture that supports the managing of the acquisition, storage, and processing of context data, in a distributed way, independently of the application, in an autonomic and rule-based perspective. To assess the functionalities of the EXEHDA-UC, we present a case study, highlighting the prototypes developed, technologies employed, and tests realized.

A model for context awareness in Ubicomp

In this paper we present a view of EXEHDA middleware and a novel service created for dynamic adaptation. EXEHDA is service-oriented, adaptive and was conceived to support the execution of ubiquitous applications. The main concept in the proposed design for the middleware and for the application is context awareness expressed in an adaptive behavior. The middleware manages and implements the follow-me semantics for ubiquitous applications. This is also a key to provide functionality adapted to the constraints and unpredictability of the large-scale environment. EXEHDA provides services for distributed adaptive execution, context recognition, ubiquitous storage and access, and anonymous and asynchronous communications. To evaluate the proposed service we developed a case study, implementing an application in medical area. Analyzing the results we can see that the users found the application easy to use and usefulness for health workers at a hospital.

A Distributed Architecture for Supporting Context-Aware Applications in UbiComp

The applications in Ubiquitous Computing (UbiComp) environments must be aware of their contexts of interest and adapt to changes in them. Thus, a major research challenge in the area of UbiComp is related to context awareness. Considering the high distribution, heterogeneity, dynamism, and mobility of ubiquitous environments, this paper presents an architecture for context awareness, named UbiC (Ubiquitous Context awareness), which is integrated to EXEHDA middleware (Execution Environment for Highly Distributed Applications). We consider that the main contribution of this work is an architecture that enables the acquisition, storage, and processing of context data, in a distributed way, independently of the application, in a rule-based autonomic perspective, and with support to mobility. To assess the functionalities of the UbiC architecture, we present a case study, highlighting prototypes developed, technologies employed, and tests realized.

Managing adaptation in Ubicomp

In this paper we present a view of EXEHDA middleware and a novel service created for dynamic adaptation. EXEHDA is service-oriented, adaptive and was conceived to support the execution of ubiquitous applications. The main concept in the proposed design for the middleware and for the application is context awareness expressed in an adaptive behavior. The middleware manages and implements the follow-me semantics for ubiquitous applications. This is also a key to provide functionality adapted to the constraints and unpredictability of the large-scale environment. EXEHDA provides services for distributed adaptive execution, context recognition, ubiquitous storage and access, and anonymous and asynchronous communications. To evaluate the proposed service we developed a case study, implementing an application in medical area. Analyzing the results we can see that the users found the application easy to use and usefulness for health workers at a hospital.

An Architectural Model for Situation Awareness in Ubiquitous Computing

One of the major research challenges of Ubiquitous Computing (UbiComp) is related to the need of the applications being aware of the situational context awareness, and when appropriate, respond to it. This paper presents an architecture for situation awareness, called EXEHDA-SA (Execution Environment for Highly Distributed Applications-Situation Awareness). We consider that the main contribution of this work is the architecture that supports acquisition, processing, and dissemination of contextual information, in a distributed way, independently of the application, in an autonomic perspective and rule-based. To assess the functionality of the EXEHDA-SA, we present a case study implemented in Didactic Laboratory of Seed Analysis (LDAS), at Faculty of Agronomy (FAEM), Federal University of Pelotas (UFPel).

Context awareness in UbiComp: An IoT oriented distributed architecture

The recent advances in the Internet of Things (IoT) area, which has provided an increasing availability of networked sensors and actuators, has given a new perspective to research in the context awareness in UbiComp. In this sense, the main contribution of this paper is the proposition of COIOT, an architecture for IoT designed with the aim of providing, through rules, the proactive management of the EXEHDA Middleware interactions with the physical environment. To evaluate the functionalities of the proposed architecture we implemented a case study in the agricultural area. The achieved results are promising.

A distributed model of coordination with dynamic management and support for mobile applications

In Ubiquitous Computing the systems must provide mechanisms to promote the cooperation among users through interoperability of their applications. With this motivation, this paper presents the EXEHDA-TS, which is a distributed mechanism for coordination of applications in Ubiquitous Computing. The proposed software architecture has proactive behavior and allows a dynamic control of communication costs, promoting scalability. The EXEHDA-TS was modeled as an integrated service to the EXEHDA middleware. The prototype was evaluated through case studies in the medical field, considering the challenges inherent in the PERTMED design, satisfactorily fulfilling the requirements of the focused scenarios.

Sensing and Actuation in IoT: An Autonomous Rule Based Approach

The recent advances in the Internet of Things (IoT) area, which has provided an increasing availability of networked sensors and actuators, has given a new perspective to research in the sensor data processing in IoT. In this sense, the main contribution of this paper is the proposition of COIOT (COntext + IOT), a rule-based architecture proposal for distributed sensing in IoT designed with the aim of providing the proactive management of the EXEHDA Middleware interactions with the physical environment. To evaluate the functionalities of the proposed architecture we implemented a case study in the agricultural area. The achieved results are very promising.

A situation-aware pervasive approach for assessing therapeutic goals in healthcare environment

This paper proposes a software architecture aimed to provide awareness of the patients current situation in healthcare environments, specifically in Intensive Care Units. As a central contribution, this work provides a situation-aware pervasive approach to the monitoring of the patients vital signs, allowing the physician to confirm anytime, anywhere, and with any device whether the desired effect with the administration of medications is being reached. In the developed architecture, this effect desired by physicians in vital parameters is called Therapeutic Goal (TG). The evaluation of the architecture was done through a case study, highlighting the technologies used, and the prototypes developed.

An architecture proposal to distributed sensing in Internet of Things

The recent advances in the Internet of Things (IoT) area, which has provided an increasing availability of networked sensors and actuators, has given a new perspective to research in the sensor data processing in IoT. In this sense, the main contribution of this paper is the proposition of COIOT(COntext + IOT), an architecture proposal for distributed sensing in IoT designed with the aim of providing, through rules, the proactive management of the EXEHDA Middleware interactions with the physical environment. To evaluate the functionalities of the proposed architecture we implemented a case study in the agricultural area. The achieved results are very promising.