In this study, a low-cost, power-saving and reliable Multiple Server Backup System (MSBS) was configured and tested. The MSBS is based on a Dynamic Backup Server System (DBSS) and is able to recover many different server functions. To configure the DBSS, the mode segmentation method is introduced to simplify system control design and improve applicability to other systems. Experiments based on a mail server showed that the DBSS has sufficient ability to deal with various types of issues, including software and hardware failures. Furthermore, it is important to evaluate the virtual server performance in recovering target server functions. The well-known clock time inaccuracy problem of the virtual server is solved using the network access method regardless of the failure.

This paper presents an optimal load balancing algorithm based on both of the ANFIS (Adaptive Neuro-Fuzzy Inference System) modeling and the FIS (Fuzzy Inference System) for the local status of real servers. It also shows the substantial benefits such as the removal of load-scheduling overhead, QoS (Quality of Service) provisioning and providing highly available servers, provided by the suggested method.