Optimization of the large data spatial information decision support service system dependent on the solution of the information entropy equation

ABSTRACT

The 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.

KEYWORDS:

• Big data
• information entropy equation
• spatial information decision
• service system

Additional information

Funding

This work was supported by Research on the implementation and evaluation of campus wireless network project based on large data [grant number 2017HXP10] and Research on the development of intelligent campus management platform based on large data analysis [grant number 17JMR25].

Notes on contributors

Taibo He

Taibo He, master, 1983.2. Graduated from Weinan Normal University. Research direction: Information technology and large data application.