基于云计算的经济预测系统研究

The research of economic forecasting system based on cloud-Computing

目前普遍使用的经济预测系统在运行时是由政府决策者自行选择预测模型,而不能够由系统自动筛选最优预测模型,这使得最后得到的预测结果不是最优的。同时,现有的预测系统运行于单台小型机上,随着金融数据的不断增多以及预测模型的不断复杂,这势必将会超过小型机的工作负荷,大大降低系统的计算分析能力,增加等待时间。因此,就需要充分利用本地或网络中的高性能计算资源。基于云计算的经济预测系统(EFSC)能够自行选取最优预测模型进行经济预测,从而得出最优预测值,为政府决策提供强有力的依据。

The commonly used economic forecasting system is not able to automatically filter the best prediction model,but to choose by policy makers,which makes the final prediction result is not optimal.Meanwhile,the existing forecasting system is based on a single server,as the financial data increasing,and the forecasting model complicating,single server will greatly reduce the calculation and predication ability of the forecasting system,and increase the waiting time.Therefore,we need to make full use of high-performance computing resources on local or network.An economic forecasting system which based on cloud-computing（EFSC） can automatically choose the optimal prediction algorithm and arrive at the best predictive value for the government to provide a stronger basis for decision-making.