Simulating an intelligence fault tolerance system for situation-aware ubiquitous computing

The focus of situation-aware ubiquitous computing has increased lately. An example of situation-aware applications is a multimedia education system. The development of multimedia computers and communication techniques has made it possible for a mind to be transmitted from a teacher to a student in distance environment. This paper proposes an Adaptive Fault Tolerance (AFT) algorithm in situation-aware middleware framework and presents its simulation model of AFT-based agents. FTE(Fault Tolerance Environment) provide several functions and features capable of developing multimedia distant education system among students and teachers during lecture. AFT is a system that is suitable for detecting and recovering software error based on distributed multimedia education environment as FTE by using software techniques. This method detects an error by using process database. When an error occurs, FTA(Fault Tolerance Agent) inspects it by using API(Application Program Interface) function for process database. If an error is found, FTA decides whether it is hardware error or software error. In case of software error, it can be recoverable. The purpose of AFT system is to maintain and recover for FTE session automatically. This paper proposes an Adaptive Fault Tolerance (AFT) algorithm in situation-aware middleware framework and presents its simulation model of AFT-based agents.