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Abstract: Complex distributed Internet services form the basis not only of e-commerce but increasingly of mission-critical networkbased applications. What is new is that the workload and internal architecture of three-tier enterprise applications presents the opportunity for a new approach to keeping them running in the face of many common recoverable failures. The core of the approach is anomaly detection and localization based on statistical machine learning techniques. Unlike previous approaches, we ... (Update)
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BibTeX entry: (Update)
@misc{ self-management-combining,
author = "Recovery For Self-Management",
title = "Combining Statistical Monitoring and Predictable",
url = "citeseer.ist.psu.edu/757040.html" }
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8 Session state: Beyond soft state - Ling, Kcman et al. - 2004
6 JAGR: An autonomous self-recovering application server - Candea, Keyani et al. - 2003
4 Magpie: real-time modelling and performance-aware systems (context) - Barham, Isaacs et al. - 2003
3 Persistent-state checkpoint comparison for troubleshooting c.. (context) - Wang, Verbowski et al. - 2003
2 Detecting application-level failures in component-based inte.. - Kcman, Fox - 2004
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2 The black Friday report on Web application integrity (context) - Group - 2003
2 Recovery-Oriented Computing: motivation (context) - Patterson - 2002
2 A microrebootable system -- design (context) - Candea, Kawamoto et al. - 2004
1 Autonomous recovery in componentized internet applications (context) - Candea, Kawamoto et al. - 2005
1 Cheap recovery: A key to self-managing state (context) - Huang, Fox
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