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• W2100770888 abstract "We introduce a network-based problem detection framework for distributed systems, which includes a data-mining method for discovering dynamic dependencies among distributed services from transaction data collected from network, and a novel problem detection method based on the discovered dependencies. From observed containments of transaction execution time periods, we estimate the probabilities of accidental and non-accidental containments, and build a competitive model for discovering direct dependencies by using a model estimation method based on the online EM algorithm. Utilizing the discovered dependency information, we also propose a hierarchical problem detection framework, where microscopic dependency information is incorporated with a macroscopic anomaly metric that monitors the behavior of the system as a whole. This feature is made possible by employing a network-based design which provides overall information of the system without any impact on the performance." @default.
• W2100770888 created "2016-06-24" @default.
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• W2100770888 date "2005-04-19" @default.
• W2100770888 modified "2023-09-27" @default.
• W2100770888 title "Network-Based Problem Detection for Distributed Systems" @default.
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• W2100770888 doi "https://doi.org/10.1109/icde.2005.93" @default.
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