Evaluating Unsupervised Fault Detection in Self-Healing Systems Using Stochastic Primitives

Schneider, Chris and Barker, Adam and Dobson, Simon (2015) Evaluating Unsupervised Fault Detection in Self-Healing Systems Using Stochastic Primitives. EAI Endorsed Transactions on Self-Adaptive Systems.

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Abstract

Autonomous fault detection represents one approach for reducing operational costs in large-scale computing environments. However, little empirical evidence exists regarding the implementation or comparison of such methodologies, or offers proof that such approaches reduce costs. This paper compares

Item Type: Article
Date Deposited: 04 Mar 2026 10:23
Last Modified: 17 Apr 2026 19:11
URI: http://eprints.eai.eu/id/eprint/12428

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