Investigating Indirect Dependencies in Bipartite Cliques of IT Infrastructure Topology

IT infrastructure analysis, such as impact analysis, root cause analysis, and compliance checking, requires deep and detailed information about the dependencies between infrastructure components. Among the passive observation methods, flow-based network traffic information is a promising source to identify and label dependencies, although the so-called indirect dependencies are not directly observable from flow records. To identify indirect dependencies, network traffic analysis is needed. In this article a method is introduced that can discover context-sensitive indirect dependencies. The fundamental idea is to determine bipartite cliques and common interest groups of server pairs. From this information, a regular expression is made that can find indirect dependencies in flow records. After that the information can be propagated to CMDB to serve enhanced IT infrastructure analysis.

By: Istvan Szombath

Published in: RZ3714 in 2008


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