SGBD em embarcados : uma aplicação visando dados científicos

Abstract

Automatized data gathering makes part of various parts of human life. Whether it be activities poses a person life at risk, resource spending reduction, processes improvements or many other applications possibles, it is possible to use embedded systems along with sensors in automatized data gathering. Data provided by gather has one or more purpose: description, explanation or prediction. A scenery description, the search for explications or predictions based on comprehension of the causes of events can be dependents of data gathering. As the need and opportunity of data gathering is increasing, this study aims show a DBMS in management of usual scientific data. The study cases have been done with DBMS inside the embedded computer which gathers metering data. It has been analyzed a relational DBMS and a NoSQL DBMS, MySQL and Redis respectively, in various stages since the enviroment setup to the data handling in study cases. It has been possible observe the architectural differences in study cases results. To run the experiments it has been used a pcDuino 1 and a Raspberry Pi 2. Both have ARM architecture processors, however they haven’t the same speed nor same amount of processing cores, among others differences. Some of those differences have been seen in the study cases results. The study cases have shown the best configuration to be chosen for an application is particular to that application as each DBMS have shown upsides and downsides in the study cases.