Abstract
ABSTRACTThe large data space information is based on the huge amount of data and becomes the bottleneck of the rapid decision response of the system. A large data spatial information decision support service system optimization (optimization of large data spatial information decision support service, OLDSIDSS) based on the information entropy equation algorithm is proposed. By using the information entropy equation to solve the typical characteristics of the distributed heterogeneity and privacy of the large data analyzed by the algorithm, the automatic expansion and load balancing technology of the information entropy equation is selected as the optimization system for the large data spatial information decision support service system. Finally, the experimental results show how this paper is constructed. The OLDSIDSS can reduce the computational complexity of optimizing the decision of large data space information, and some private information can also be calculated without processing.
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