Mining Activity Data for Dynamic Dependency Discovery in e-Business Systems

Abstract—The growing popularity of e-businesses has stimulated web sites to evolve from static content servers to complex tiered systems built from heterogeneous server platforms. A large amount of IT budget of e-businesses is spent nowadays on maintaining, troubleshooting, and optimizing these web sites. It has been shown that such system management activities may be simplified or automated to various extents if a dynamic dependency graph of the system were available. Currently, all known solutions to the dynamic dependency graph extraction problem are intrusive in nature, i.e. require unwelcome modifications at application or middleware level. In this paper, we develop non-intrusive techniques based on data mining, that process existing monitoring data generated by server platforms, to automatically extract the system component dependency graphs in tiered e-business platforms, without any additional application or system modification.

Index Terms—Resource Management, Computer Network Management, Monitoring, Correlation

By: Manoj K. Agarwal, Manish Gupta, Anindya Neogi,Gautam Kar, Anca Sailer

Published in: RI04002 in 2004


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