基于Petri网的大规模网络服务系统故障预测与演化  

Fault Prediction and Evolution of Large Scale Network Service System Based on Petri Net

作　　者：郭立志[1] 王苓[2] GUO Lizhi WANG Linge(Informatization Construction and Management Center, Inner Mongolia University of Finance and Economics, Huhhot 010070, China Network Center, Lanzhou University, Lanzhou 730000, China)

机构地区：[1]内蒙古财经大学信息化建设与管理中心,内蒙古呼和浩特010070 [2]兰州大学通信网络中心,甘肃兰州730000

出　　处：《微电子学与计算机》2017年第3期129-132,共4页Microelectronics & Computer

摘　　要：介绍一种模糊Petri网的正向矩阵预测和反向预测方法,并基于预测方法设计出大规模网络服务系统故障预测模型,通过该模型与传统故障树方法进行比对,验证模型的准确性和高效性.采用概率重要度的计算和初始库的重要度分析,通过对大规模网络服务系统软件故障的演化和硬件故障的演化,验证了所设计的大规模网络服务系统故障预测模型的实用性.This paper presents a positive matrix prediction and reverse prediction method of fuzzy Petri net, and design a fault prediction method based on large scale network service system model, through comparing the traditional model and the fault tree method to verify the accuracy of the model and efficiency. An analysis using the probability importance calculation and initial library, through the evolution of hardware and software fault fault of large scale network service system, fault prediction model is practical large-scale network service system to validate the design.

关 键 词：模糊PETRI网 网络服务系统故障 正向矩阵预测 反向矩阵预测 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]