A multi-agent based context aware self-healing system

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.