Internet of Things (IoT) environments are characterized by a high degree of heterogeneity of devices and network protocols. Many IoT platforms have been proposed in the last years by both academia and industry aiming at dealing with such a heterogeneity, promoting interoperability, easing application development, and coping with important requirements within IoT. Among those existing platforms, FIWARE (https://www.fiware.org/) is an open, generic platform developed in the European Community and used in many successful cases related to IoT applications in several scenarios. This platform provides a set of specifications available through open interfaces, as well as generic functional components, the so-called generic enablers (GEs). As FIWARE meets a wide range of relevant requirements for IoT platforms and it provides extensible, reusable components to ease application development, it becomes an interesting option to be adopted in this context. This talk will provide an overview of the FIWARE platform, besides specially focusing on the components intended to support context management and IoT application development.

Everton Cavalcante (http://www.dimap.ufrn.br/~everton/) is an Assistant Professor at the Department of Informatics and Applied Mathematics (DIMAp) of the Federal University of Rio Grande do Norte (UFRN), Natal, Brazil. He has diplomas of PhD in Computer Science awarded by UFRN and PhD in Information and Communication Sciences and Technologies awarded by the University of South Brittany, France. He has expertise in Computer Science with emphasis on distributed systems and software architecture, mainly working on the following topics: middleware, Cloud Computing, Ubiquitous Computing, Internet of Things, smart cities, software dynamic reconfiguration, architecture description languages and systems-of-systems. He is member of the Association for Computer Machinery (ACM) and of the Brazilian Computer Society (SBC) serving as regional delegate in Rio Grande do Norte. He is also with the Software Engineering Research and Innovation Group (SETe) of the Digital Metropolis Institute (IMD) at UFRN.