Intelligent fuzzy based biasing load balancing algorithm in distributed systems

This paper proposes an intelligent load balancing algorithm that uses fuzzy logic control to consider inherent global system uncertainty of distributed systems. The algorithm is based on hierarchical structure. It use current load and last completed task waiting time on nodes as inputs of fuzzy controller and infer specific weights call bias as output. The loads get transmitted to groups and nodes based on their biases. Simulation results show that the proposed algorithm conform better performance compared to conventional algorithms.