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Implementation of MapReduce parallel computing framework based on multi-data fusion sensors and GPU cluster
2021
EURASIP Journal on Advances in Signal Processing
AbstractNowadays, with the rapid growth of data volume, massive data has become one of the factors that plague the development of enterprises. How to effectively process data and reduce the concurrency pressure of data access has become the driving force for the continuous development of big data solutions. This article mainly studies the MapReduce parallel computing framework based on multiple data fusion sensors and GPU clusters. This experimental environment uses a Hadoop fully distributed
doi:10.1186/s13634-021-00787-7
fatcat:opqxux5c2nekrk2o7zb3mt44uq