Descoberta de recursos para o Middleware EXEHDA na perspectiva da Internet das Coisas

Abstract

We have witnessed the day-to-day evolution of the Internet of things, where the number of connected objects has had a steady growth. These objects interoperate exploring different communication features and provide information to a wide range of services and applications. This advance in the area of Internet of Things causes the computer resources become increasingly integrated into the routines of everyday life of its users, facilitating the collection and treatment of information of different natures in such areas as agriculture, health, among others. This growth, among other things, introduces the need of resources be identified, so that the user can have the information that is available in the computing environment of your interest. In this sense, the research for resource management in ubiquitous environments, such as those provided by the IoT, are incorporating study fronts seeking alternatives for resource identification occurs as transparent as possible, enabling the discovery and selection of resources available in the modern computing infrastructures. The G3PD (Group of research on Parallel and distributed Processing) has been articulating his studies related to IoT considering a middleware for providing solutions in this area, named EXEHDA (Execution Environment for Highly Distributed Applications). This dissertation aims to the central proposal of an architecture for Resource Discovery, directed to the scenario of the Internet of things, to be integrated into the middleware EXEHDA. The main features of the proposed architecture have been validated through prototyping and simulation, where their results turned out to be promising using technologies and Internet standards of Things already used by G3PD, corroborating research challenges in the area of resource discovery in the context of the Internet of Things. Keywords: Internet of Things, Ubicomp, Resource Discovery.