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Research and Application of Cloud Computing Platform Monitoring System based on Virtual Cluster

摘要


The financial risk early warning system is based on financial informatization and is a system for real-time monitoring of potential risks in financial activities. According to the characteristics of financial system, this paper proposes the technical framework of P2P financial risk early warning system (WAPFREW) based on Web service and mobile agent. This paper establishes a model library system for the early warning of liquidity risk in the financial system, and takes the Logit model as an application example to carry out early warning of liquidity risk. Finally, this paper uses the database collected by the system for effect analysis and correlation test. The research shows that the algorithm proposed in this paper has the characteristics of high prediction accuracy, high tolerance to outliers and not easy to over-fit.

參考文獻


Hu Qingfeng. Credit Risk Prediction Model of Financial Companies Based on Machine Learning Algorithms. Electronic Technology and Software Engineering, vol. 4, pp. 29-31,October 2021.
Huang Peng. The Perfect Path of Financial Venture Capital Management in China. National Circulation Economy, vol.8, pp. 34-41,August 2021.
Chen Xueqin. Financial Risk Prevention and Resolution of Local Investment and Financing Platform Companies. China Business Review, vol. 6, pp. 20-25,January 2020.
Hou Ruirui. Financial Risk Prevention and Resolution of Local Investment and Financing Platform Companies. Chinese and Foreign Entrepreneurs, vol. 9, pp. 13-17, February 2020.
Zhou Liang, Li Hongquan. Can Economic Uncertainty Effectively Predict Systemic Financial Risks?. Research on Financial Issues, vol. 8, pp. 110-115,February 2022.

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