An Optimal Load Balancing Method for the Web-Server Cluster Based on the ANFIS Model

摘要

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, Q_oS (Quality of Service) provisioning and providing highly available servers, provided by the suggested method.