Backup and Recovery Scheme for Multi-Agent-based e-Learning System

We have developed a distributed asynchronous Web based training system. In order to improve the scalability and robustness of this system, all contents and a function that scores user´s answers are realized on mobile agents. These agents are distributed to computers, and they can obtain using a P2P network that modified content-addressable network. In this system, although entire services do not become impossible even if some computers break down, the problem that contents disappear occurs with an agent´s disappearance. In this study, as a solution for this problem, backups of agents are distributed to computers. If a failure of a computer is detected, other computer will continue service using backups of the agents belonged to the computer. The developed algorithms are examined by experiments.