Author(s)

Su Buda

Corresponding Author

Su Buda

ABSTRACT

In computer programming, the most important indicators are space complexity and time complexity. Complexity analysis of process algorithm for calculating the amount of resources is needed to run the algorithm under large data. The optimization of space-time conversion should consider correctness analysis, space-time efficiency analysis and space-time characteristics analysis. The process of solving problems requires making decisions one by one, especially pointing out that smaller decision problems are embedded in larger decisions. According to the different types of data in the program, two databases are established to deal with static data and dynamic data respectively. This method is used to build a database can facilitate data management and update while maintaining data security, reduce the complexity of time and space of big data, enhance the system's ability to process spatial time data for large data volume, and prove the feasibility of the optimization through practical examples.

KEYWORDS

Big data, Computer, Programming, Space, Time