Parallel processing proposal by clustering integration of low-cost microcomputers

Abstract

Regarding parallel processing, a study brings a parallel computing approach by integrating low-cost microcomputers. In the given research, the main aspects linked to parallel processing and its motivation are exposed, widespread today by the need for data mining integrated with large-scale databases, prominent data characteristics, large volumes of data, lack of agile processing for real-time analysis, and high variability of data. For a given proposal, a case study scenario is addressed, where the database composed of more than twelve years of continuous records was processed, requiring processing and processing of the data present for the feasibility of a machine learning project. In the study, the main gains of the implemented system are presented, mainly the use of only 18% of the time required if it was considered a traditional model in the processing of the base. At the end of the article, considerations under the research and proposals for future works are presented.