Abstract
There is increasing demand for the self-diagnosis and self-healing of problems or errors arising in systems operating in the ubiquitous computing environment. In this paper, we propose a self-healing system that monitors, diagnoses and heals its own problems. The proposed system consists of multi agents that analyze the log context in order to perform self-diagnosis and self-healing. To minimize the resources used by the Adapters in an existing system, we place a single process in memory. By this, we mean that a single Monitoring Agent monitors the context of the logs that are generated by the different components of the system. For rapid and efficient self-healing, we use a 6-step process. The effectiveness of the proposed system is confirmed through experiments conducted with a prototype system.
This work was supported by the Ubiquitous Autonomic Computing and Network Project, 21st Century Frontier R&D Program in Korea and the Brain Korea 21 Project in 2004. Dr. E. Lee is the corresponding author
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Park, J., Youn, H., Lee, E. (2005). A Multi-agent Based Context Aware Self-healing System. In: Gallagher, M., Hogan, J.P., Maire, F. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2005. IDEAL 2005. Lecture Notes in Computer Science, vol 3578. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11508069_67
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DOI: https://doi.org/10.1007/11508069_67
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