Title: Reliability analysis of the financial management auxiliary system of remote branches based on cloud computing

Authors: Suhong Bi

Addresses: School of Accounting, Jiaozuo University, Jiaozuo 454000, China

Abstract: Aiming at the problem of low system reliability caused by poor recoverability and robustness of traditional remote branch financial management system nodes, a reliability analysis of remote branch financial management auxiliary system based on cloud computing is proposed. J2EE cross platform architecture is adopted to store a large amount of unstructured data in the cloud platform, and classify, retrieve and access control the data. The self immune recovery algorithm of fault data nodes based on cloud computing technology is used to calculate the delayed recovery degree of nodes, so as to improve the reliability of financial management auxiliary system. After experimental analysis, the system recovers nine fault nodes, which is highly consistent with the distribution of standard samples, and the robustness of the system remains above 95%. It can be seen that the financial management auxiliary function of the system designed in this paper has good reliability.

Keywords: cloud computing; convolution function; financial management; self-immune recovery; failure node; reliability.

DOI: 10.1504/IJASS.2023.133894

International Journal of Applied Systemic Studies, 2023 Vol.10 No.2, pp.136 - 153

Received: 07 May 2021
Accepted: 04 Mar 2022
Published online: 05 Oct 2023 *

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