EXEHDA-FC: uma abordagem para processamento distribuído de contexto explorando a integração de Fog e Cloud Computing

Abstract

Ubiquitous Computing has as a premise to provide users, in the most transparent way possible, computational functionalities integrated to the environment of their interest. This integration requires the use of devices for sensing and/or acting distributed in the environment. The dissemination of alternatives to interconnect these devices has been enhanced with the Internet of Things (IoT). The IoT aims to provide intercommunication between smart devices with the use of the Internet, providing the collection of information from these heterogeneous devices, thus enabling their contextual processing, providing support for acting decisions in the most autonomous way possible. The solutions based on the IoT included, as a rule, a centralized processing of the contextual sensed information, exploring for this equipments in a perspective of Cloud Computing. On the other hand, the Fog Computing approach, in wide dissemination, aims to perform contextual processing in a decentralized way, in a layer closer to where the context data acquisition is performed. The study and research work developed in this Dissertation has as its central objective the conception of a new architecture for the EXEHDA middleware Edge Server, called EXEHDA-FC, enabling Edge Servers for the acquisition and distributed processing of contextual data in IoT, thus contributing to the use of the Fog Computing approach. This work is part of the research activities associated with the EXEHDA Context Recognition and Adaptation Subsystem and has the purpose of aggregating efforts in studies for the qualification of middleware. The evaluations carried out by EXEHDAFC considered a Scenario of Use in the area of Precision Viticulture, which explores typical situations in Fog Computing. The results achieved point to the continuity of study and research efforts on the subject.