Heterogeneous data scheduling platform for urban planning based on big data mining
In order to improve the scheduling effect of heterogeneous data resources of urban planning,a heterogeneous data scheduling platform of urban planning based on big data mining is designed.The hetero-geneous big data is collected by configuring FPGA,and the Binary split clustering algorithm in big data mining technology is used to classify and store data.The matching scheduling tasks are distributed based on particle swarm clustering algorithm,and the data scheduling efficiency is optimized based on big data pro-cessing technology to finally complete heterogeneous data resource scheduling of urban planning.The test results show that the data acquisition speed of the platform is above 6800 bytes/S,the highest results of Friedman test and adjusted random error are 0.965 and 0.02,respectively,and the data classification effect is good.The data scheduling matching rate is above 0.94,which improves the scheduling effect of heterogeneous data resources in urban planning.
big data miningparallel acquisitiondata classificationdata resource scheduling
万方数据
维普
