Abstract
With the increasing amount of data, there is a higher demand for fast access to data. Therefore, tree data structures are popular because they can quickly access data. In addition, with the increase of the cores of computer microprocessors, the tree data structure that can be concurrently controlled may be one of the most effective data structures today. However, there is still a lack of a summary of the differences in the data structures of various trees. Therefore, this paper collects code structures of different types of trees and then comments on the speed of various tree data structure types concerning parallel processing situations. The study covers the structure and performance of different kinds of trees and summarizes the method of concurrent control of these data structures. This paper can help to clearly understand the relationships and differences between various tree data structures and help them quickly learn the application of concurrency control in trees.
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