Research on Simulation Analysis of Elimination Conflicts in Large Financial System

Abstract

Data of financial system traffic randomness large, the data is not fixed to a single channel by multiple users is difficult to form a unified task scheduling rules. In this paper, we put forward a multi-user flexible financial system task scheduling algorithm based on decision distance. The algorithm adopted decision distance can get the data of dynamic relation matrix, and use dynamic feedback scheduling method to control the matrix, in order to ensure the rationality of the task allocation and reduced the probability of task conflict in the system. The dynamic feedback scheduling decisions distance can analyze data from the use of case decisions using the resource nodes, get the dynamic relationship between data matrix, the matrix is ​​analyzed to extract maximum data connection group with no maximum data connections correlation data, which will be filtered with a smaller maximum data associated with the connection data.