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Distributed Parallel Computing in Data Analysis of Osteoporosis
Priscyla Waleska Simões, Ramon Venson, Eros Comunello, Rogério Antônio Casagrande, Everson Bigaton, Lucas da Silva Carlessi, Maria Inês da Rosa, Paulo João Martins
This research aimed to compare the performance of two models of load balancing (Proportional and Autotuned algorithms) of the JPPF platform in the processing of data mining from a database with osteoporosis and osteopenia. When performing the analysis of execution times, it was observed that the Proportional algorithm performed better in all cases.
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