为服务性能管理的量的模型系统被建议的联机发现的体系结构。系统能够没有管理元素的优先的知识,构造量的模型。模型能响应在供应商配置和企业要求的进化做的变化连续地被更新。由于在分布式的服务度量标准和反应时间之间的强壮的关联的存在,线性并且超量的模型被构造,它分别地,使用逐步的多重线性回归算法。模拟结果显示出构造系统的一个量的模型和构造算法的模型的有效性。
An architecture for online discovery quantitative models system of service performance management is proposed. The system is capable of constructing the quantitative models without prior knowledge of the managed elements. The model can be updated continuously in response to the changes made in provider configurations and the evolution of business demands. Due to the existence of strong correlation between the distributed service metrics and response times, linear and hyper-linear quantitative models are constructed, which respectively, use stepwise multiple linear regression algorithm. The simulation results show the effectiveness of a quantitative model constructing system and model constructing algorithms.