Configuration Management Database Model Based on Cloud Computing Operation and Maintenance Service

doi:10.3969/j.issn.1006-2475.2014.10.008

Abstract

Abstract: Configuration management database (CMDB) is a data center of infrastructure. It plays a vital core role in operation and maintenance processes. In the environment of cloud computing, there is a lack of CMDB model which can support the cloud-based operation and maintenance service. In order to solve this problem, based on cloud computing operation and maintenance scene, a research was made about how to build a cloud platform CMDB that provides operation and maintenance service. With this foundation, a basic model of CMDB including the relationship between each configuration item (CI) and the high performance external query and analysis capabilities was provided. It turned out to be a theoretical data-supported practical standard model for operation and maintenance. The model has been applied and validated in a cloud-based project for a telecom operator.
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Key words: cloud computing, operation and maintenance, configuration management database, model

CLC Number:

TP311.13

XIAO Jian-ming, DAI Sheng. Configuration Management Database Model Based on Cloud Computing Operation and Maintenance Service[J]. Computer and Modernization, 2014, 0(10): 31-36.

References

［1］周宇洁. IT运维管理的最佳实践［J］. 洛阳理工学院学报(自然科学版), 2009,19(2):65-68.
［2］湛蓝,王东,王强. 配置管理应用框架的设计及应用［J］. 金融科技时代, 2013(9):56-59.
［3］张若庚,高宇. IT服务管理的发展趋势和影响［J］. 数字通信, 2011,38(5):16-20.
［4］ Grossman R L. A Quick Introduction to Clouds ［EB/OL］. http://science-edu.larc.nasa.gov/cloud_chart/PDFs/NOAA-NASA-CloudChart.pdf, 2008-10-10.
［5］陈康,郑纬民. 云计算: 系统实例与研究现状［J］. 软件学报, 2009,20(5):1337-1348.
［6］张庆斌,田德柱. 基于ITIL的云计算实施策略［J］. 计算机系统应用, 2010,19(9):84-87.
［7］郑仕辉,李晋晋. 打造数据中心生产运维服务云［J］. 金融电子化, 2013(5):74-76.
［8］汪灏. 基于云计算的ITIL运维［D］. 上海:东华大学, 2012.
［9］王晓枫. 云时代IT管理模式探讨［J］. 数字与缩微影像, 2013(2):45-47.
［10］Stanley R. Cocreation and implementing ITIL service management in the Cloud: A case study ［C］// The 8th International Conference on Knowledge Management in Organizations. 2014:61-71.
［11］孙北宁,李兵. 配置管理数据库的创建［J］. 云南电力技术, 2012,40(1):47-48.
［12］Madduri H, Shi S S B, Baker R, et al. A configuration management database architecture in support of IBM service management［J］. IBM Systems Journal, 2007,46(3):441-457.
［13］Clark D, Dublish P, Johnson M, et al. The Federated CMDB Vision: A Joint White Paper from BMC, CA, Fujitsu, HP, IBM, and Microsoft Version 1.0.［R］. Technical Report, 2007.
［14］Saenz J, Fernandez E, De La Camara M. A CMDB meta model based on services［M］// Information Systems Development, 2013:255-263.
［15］Yamada H, Yada T, Nomura H. Developing network configuration management database system and its application—data federation for network management［J］. Telecommunication Systems, 2013,52(2):993-1000.
［16］Fernandez C, Ramon J, Heradio-Gil R, et al. A domain engineering approach to increase productivity in the development of a service for changes notification of the configuration management database［J］. Journal of Software Engineering & Applications, 2013,6(4):207-220.
［17］李文璟,王迎雪,王颖. 基于分域的IT配置管理数据库信息模型［J］. 北京邮电大学学报, 2009,32(S1):5-9.

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