基于CMDB的ITIL决策支持研究  

Study for ITIL decision support based on CMDB

作　　者：董朝阳[1] 陈珂 葛新 

机构地区：[1]西安建筑科技大学机电工程学院,西安710055 [2]西安未来国际软件有限公司,西安710075

出　　处：《机械设计与制造》2011年第9期266-268,共3页Machinery Design & Manufacture

基　　金：陕西省自然科学基金(2007E215);陕西省教育厅基金资助(09JK562)

摘　　要：基于CMDB数据库建立配置项关联关系有向图,在此基础之上在三个环节实现对ITIL提供决策支持:在事件管理环节基于数据挖掘分析事件关联度并找出问题,利用智能数据挖掘方法对事件构造分类模式,任一分类模式代表一类事件,也就是亟待解决的一个问题;在问题管理环节基于模糊有向图及智能算法进行故障诊断,用智能优化算法对所有可能的问题传播路径进行搜索,分析查找出问题背后隐藏的真实深层次根源;在变更管理环节建立评价变更影响度的指标体系,建立故障树并确定变更节点故障概率,使用定量及定性指标集成分析方法评估变更影响度,最后通过实例验证了方法有效性。The relationship directed graph of configuration item based on configuration management database is constructed.Based on this,decision support for ITIL is realized in three segments.In incident management,data mining is adopted to analyze the incident relationship and to find problems.The intelli-gent data mining method is used to form classifying modes.Each mode represents a class of incidents,which is also a problem needs to be solved immediately.In problem management,fault diagnosis based on fuzzy directed graph and intelligent algorithm is used to find root causes of problem.The intelligent optimiz-ing algorithm is used to search every problem propagating paths.The architecture of indexes to evaluate change impact is constructed in change management.The fault tree is developed to determine the malfunc-tion probability of changing nodes.The integrated method dealing with qualitative and quantitative is de-vised to evaluate change impact.An example is used to verify the effectiveness of the method.

关 键 词：配置管理数据库 数据挖掘 智能优化 ITIL 决策支持 

分 类 号：TH16[机械工程—机械制造及自动化] TP391[自动化与计算机技术—计算机应用技术]