电子商务视角下基于局部多项式回归的信息物理系统可靠性模型

Reliability Model of Cyber Physical System Based on Local Polynomial Regression from the Perspective of E-Commerce

随着互联网的高度发展,信息物理系统的可靠性对于电子商务至关重要,因为这些系统支撑着在线交易、数据管理和用户体验。在电子商务视角下,本文提出了一种基于局部多项式回归的信息物理系统可靠性模型,并将其与两种传统的信息物理系统可靠性模型进行比较。此外,对模型中的参数估计采用了最小二乘估计法。最后,基于超级计算机BlueGene/L的系统的真实失效数据,利用jupyter notebook对这3类信息物理系统可靠性模型的性能进行对比分析。通过实验验证表明,局部多项式回归模型的拟合效果与预测能力更好。本文结果为电子商务的可持续发展提供了有力保障。With the high development of the Internet, the reliability of the cyber physical system is critical for e-commerce, as these systems underpin online transactions, data management and user experience. Under the perspective of e-commerce, this paper presents a reliability model of cyber physical system based on local polynomial regression, and compares it with two traditional cyber physical system reliability models. In addition, the least squares estimation method is used to estimate the parameters in the model. Finally, based on the real system failure data of supercomputer BlueGene/L, jupyter notebook is used to compare and analyze the performance of these three types of reliability models of cyber physical system. The experimental results show that the local polynomial regression model has better fitting effect and prediction ability. The results of this paper provide a strong guarantee for the sustainable development of e-commerce.