Abstract: The business system architecture diagram is one of the important tools for operations to maintain data center. Automatic combing architecture can significantly improve the maintenance efficiency. The architecture diagram of the business system is a hierarchical network structure. Therefore, for this problem of hierarchical organization structure discovery, it is not only necessary to detect the cluster-group but also to locate the hierarchical position of the cluster-group in the system architecture diagram. Because the quality of the cluster-group detection is directly affects cluster-level positioning, so accurate detection of cluster-group is very crucial. Community detection helps to reveal the relationship between individuals in a complex network structure, but the server cluster in the business system does not conform to the density-based community definition of traditional community. Therefore, this paper proposes a method of functional cluster positioning (FCP) based on the function of the server to detect the cluster-group and locate the cluster hierarchy. We construct a similarity network of servers based on server similarity of connectivity and attribute. The cluster characteristics of the network conform to the definition of traditional community, so we can detect the cluster-group by algorithms of traditional community, and then locate the functional level of the cluster-group in the business system based on the business flow so as to realize the discovery of hierarchy organization structure of the business system. The experimental results on the real data set show that the FCP method proposed in this paper can automatically and accurately discover the hierarchy organization structure of the business system in the data center.

Key words: system architecture diagram, hierarchical network, similarity modeling, community detection