An Intelligent Error Detection Model for Reliable QoS Constraints Running on Pervasive Computing

We propose an intelligence predictive model for reliable QoS constraints running on pervasive computing. FTA is a system that is suitable for detecting and recovering software error based on pervasive computing environment as RCSM(Reconfigurable Context-Sensitive Middleware) by using software techniques. One of the methods to detect error for session´s recovery inspects process database periodically. But this method has a weak point of inspecting all processes without regard to session. Therefore, we propose FTA. This method detects error by inspecting by hooking method. If an error is found, FTA informs GSM of the error. GSM informs Daemon or SA-SMA of the error. Daemon creates SA-SMA and so on. SA-SMA creates Video Service Provide Instance and so on.