A5021862673- IoT and Edge/Fog Computing
- Service-Oriented Architecture and Web Services
- Energy Efficient Wireless Sensor Networks
- Context-Aware Activity Recognition Systems
- Advanced Software Engineering Methodologies
- Software System Performance and Reliability
- Cloud Computing and Resource Management
- Caching and Content Delivery
- Business Process Modeling and Analysis
- Model-Driven Software Engineering Techniques
- Semantic Web and Ontologies
- Modular Robots and Swarm Intelligence
- IoT Networks and Protocols
- Energy Harvesting in Wireless Networks
- Software Engineering Research
- Water Quality Monitoring Technologies
- Opportunistic and Delay-Tolerant Networks
- Blockchain Technology Applications and Security
- Software Engineering Techniques and Practices
- Data Stream Mining Techniques
- Distributed systems and fault tolerance
- IoT-based Smart Home Systems
- Software-Defined Networks and 5G
- Distributed and Parallel Computing Systems
- Big Data and Business Intelligence
Universidade Federal Fluminense
2020-2024
Universidade Federal do Rio de Janeiro
2011-2020
University at Albany, State University of New York
2019
Département d'Informatique
2016
The University of Sydney
2013-2016
Universidade Federal de Campina Grande
2015
Administração Regional de Saúde de Lisboa e Vale do Tejo
2013
University of Coimbra
2013
Universidade Federal do Rio Grande do Norte
2006-2012
University of Rio Grande and Rio Grande Community College
2010
The emergent paradigm of edge computing advocates that computational and storage resources can be extended to the network so impact data transmission latency over Internet effectively reduced for time-constrained Things applications. With widespread deployment devices, energy demand these devices has increased started become a noticeable issue suitable development urban systems. In this article, we propose unified management framework enabling sustainable with distributed renewable...
Cloud computing has become the de facto platform for application processing in era of Internet Things (IoT). However, limitations cloud model, such as high transmission latency and costs are giving birth to a new paradigm called edge (a.k.a fog computing). Fog aims move data close network so reduce traffic. since servers at layer not powerful ones cloud, there is need balance between cloud. Moreover, besides offloading issue, energy efficiency nodes an increasing concern. Densely deployed...
The Internet of Things (IoT) is a paradigm in which smart objects actively collaborate among them and with other physical virtual available the Web order to perform high-level tasks for benefit end-users. In e-health scenario, these communicating can be body sensors that enable continuous real-time monitoring vital signs patients. Data produced by such used several purposes different actors, as doctors, patients, relatives, health care centers, provide remote assistance users. However, major...
In the near future, it will be possible that every object on Earth can identifiable and addressable. Such objects able to monitored monitor their physical environments, of executing actions such environments in benefit human users. Moreover, these so-called smart endowed with wireless communication capabilities. By being uniquely addressed, through use existing protocols standardized formats, things integrated Internet accessed as any other Web resource. this context, Things (IoT) emerges a...
The steep rise of Internet Things (IoT) applications along with the limitations Cloud Computing to address all IoT requirements promotes a new distributed computing paradigm called Fog Computing, which aims process data at edge network. With help transmission latency and monetary spending caused by can be effectively reduced. However, executing in fog nodes will increase average response time since processing capabilities is not as powerful cloud. A tradeoff issue needs addressed within such...
Emerging IoT applications with stringent requirements on latency and data processing have posed many challenges to cloud-centric platforms for Smart Cities. Recently, Fog Computing has been advocated as a promising approach support such new handle the increasing volume of devices. The paradigm is characterized by horizontal system-level architecture where devices close end-users are used processing, storage, networking functions. aim facilitate development systems Cities providing services...
The current sensor networks are assumed to be designed for specific applications, having strongly coupled data communication protocols. future envisioned as comprising heterogeneous devices assisting a large range of applications. To achieve this goal, new architecture approach is needed, application features separated from the protocol, while influencing its behavior. We propose Web Services design networks, in which nodes service providers and applications clients such services. Our main...
The Internet of Things (IoT) is a paradigm in which smart objects actively collaborate with other physical and virtual resources available the Internet. IoT environments are characterized by high degree heterogeneity, encompassing devices different capabilities, functionalities, network protocols. To address such some platforms have been proposed aiming at abstracting away specificities promoting interoperability among them. Nevertheless, lack standardization makes these to often not...
The Internet of Things (IoT) is a new paradigm consisting heterogeneous entities that communicate with each other by sending and receiving messages in formats through protocols to achieve common goal. When designing IoT applications, there are two main challenges: the complexity represent such entities, message formats, an unambiguous manner, lack methodologies verify QoS (Quality Service) properties. This paper introduces design analysis process supported framework assist application...
The Internet of Things (IoT) is a paradigm thatrefers to the ubiquitous presence around us physical objects equipped with sensing, networking and processing capabilities that allow them cooperate each other their environment reach common goals. General objectives IoT are improving quality human life optimizing industrial processes, by automating tasks humans must perform. Such benefits obtained developing applications. heterogeneity interdisciplinary present in development any application...
The Internet of Things (IoT) has emerged as a paradigm in which smart things actively collaborate among them and with other physical virtual objects available the Web order to perform high-level tasks. IoT environments are typically characterized by high degree heterogeneity, thus encompassing devices different capabilities, functionalities, network protocols. In such scenario, it is necessary provide abstractions for services applications end-users, well means manage interoperability...
With the Internet of Things (IoT), applications should interact with a huge number devices and retrieve context data produced by those objects, which have to be discovered selected priori. Due number, heterogeneity, dynamicity resources, discovery services are required consider many selection criteria, e.g., device capabilities, location, type, contextual situations, quality. In this paper, we describe QoDisco, semantic-based service that addresses requirement in IoT. QoDisco is composed set...