Configuration management databases have gained popularity in enterprisesdue to their role in providing efficient IT Resource and Service Management.Enterprises are becoming more competitive through increasing of resource utilizationto support their business services. Existing configuration managementdatabase implantations are known to have serious problems, introducing securityand maintenance issues. They use a centralized approach implementedvia a complex logical database model. This complexity reduces the possibilityfor enterprises to achieve competitive advantage. Apart from this, implementingsuch a complex model requires time.There is room for a new logical database model. Cfengine’s approach tological database is not as a traditional inventory, but rather as a knowledgebasesemantic web of information that connects various aspects of configurationmanagement. The thesis considers designing of a logical database model,and its topic map model for Cfengine 3, which is a machine-learning approach.The developed model is characterized of being easily manageable, easy to implement,extensible, and optimized for updating process.
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