Mapping Moving Landscapes by Mining Mountains of Logs: Novel Techniques for Dependency Model Generation
Summary: Automatically discovers high-level dependencies in evolving distributed systems by mining logs with data-mining and NLP collocation techniques. Three approaches achieve useful precision on Geneva University Hospitals’ production data, enabling maintainable models for root-cause diagnosis. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Mirko Steinle (EPFL)
- 2. Karl Aberer (EPFL)
- 3. Sarunas Girdzijauskas (EPFL)
- 4. Christian Lovis (Geneva University Hospitals)
BibTeX Citation
@article{steinle_vldb06,
title = {{Mapping Moving Landscapes by Mining Mountains of Logs: Novel Techniques for Dependency Model Generation}},
author = {Steinle, Mirko and Aberer, Karl and Girdzijauskas, Sarunas and Lovis, Christian},
journal = {PVLDB},
series = {{VLDB} '06},
pages = {1093--1104},
year = {2006}
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