Distributed Parallel Computing in Data Analysis of Osteoporosis.
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.
Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.
Priscyla
P
Waleska Simões
Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.
Ramon
R
Venson
Universidade Federal de Santa Catarina, UFSC, Florianópolis, SC, Brazil.
Eros
E
Comunello
Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.
Rogério Antônio
RA
Casagrande
Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.
Everson
E
Bigaton
Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.
Lucas
L
da Silva Carlessi
Postgraduate Program in Public Health, UNESC, Criciúma, SC, Brazil.
Maria Inês
MI
da Rosa
Research Group in Information and Communications Technology in Health, UNESC, Criciúma, SC, Brazil.
Paulo João
PJ
Martins
D017677:Age Distribution; D000465:Algorithms; D001938:Brazil / Q000453:epidemiology; D003195:Computer Communication Networks / Q000706:statistics & numerical data*; D057286:Electronic Health Records / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D016247:Information Storage and Retrieval / Q000706:statistics & numerical data*; D010024:Osteoporosis / Q000175:diagnosis / Q000453:epidemiology*; D011159:Population Surveillance / Q000379:methods*; D015995:Prevalence; D012307:Risk Factors