A Fast Multi-channel Data Fusion Method for Information Network Based on Cloud Computing
In order to obtain satisfactory fast data fusion results,a fast multi-channel data fusion method for information network based on cloud computing is proposed.Through MapReduce in cloud computing,the multi-channel data of information network is preprocessed and redundant data is deleted.After preprocessing,the deep self-coder is layered and deployed in the information net-work cluster structure,the data is input into the deep self-coder model,the multi-channel characteristic data of the information net-work is extracted,and the data is transferred to the aggregation node at the same time to realize the rapid fusion of multi-channel data of the information network.Experimental results show that the proposed method can effectively improve data fusion accuracy and data integrity,reduce energy consumption and end-to-end transmission delay.
万方数据
维普
