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An Architecture-based Multi-level Self-Adaptive Monitoring Method for Software Fault Detection  

Youn, Hyun-Ji (서강대학교 컴퓨터공학과)
Park, Soo-Yong (서강대학교 컴퓨터공학과)
Publication Information
Journal of KIISE:Software and Applications / v.37, no.7, 2010 , pp. 568-572 More about this Journal
Abstract
Self-healing is one of the techniques that assure dependability of mission-critical system. Self-healing consists of fault detection and fault recovery and fault detection is important first step that enables fault recovery but it causes overhead. We can detect fault based on model, the detection tasks that notify system's behavior and compare normal behavior model and system's behavior are heavy jobs. In this paper, we propose architecture-based multi-level self-adaptive monitoring method that complements model-based fault detection. The priority of fault detection per component is different in the software architecture. Because the seriousness and the frequency of fault per component are different. If the monitor is adapted to intensive to the component that has high priority of monitoring and loose to the component that has low priority of monitoring, the overhead can be decreased and the efficiency can be maintained. Because the environmental changes of software and the architectural changes bring the changes at the priority of fault detection, the monitor learns the changes of fault frequency and that is adapted to intensive to the component that has high priority of fault detection.
Keywords
Self-healing; Fault detection; Overhead; Monitoring; Architecture;
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