Load distributing algorithm using fuzzy neural network

We propose a distributing algorithm using fuzzy-neural network to optimally balance the load on the servers of a clustered Web farm and improve the performance by enhancing the cache hit rate of the servers. The traditional distributing algorithm using neural network cannot provide a good performance real web site because it cannot balance the server workload adaptively. Here, we feed back the real-time system usage with an updating mapping rules based on different requested objects categorized into different servers groups with different cache size and according to their input frequency to enhance the cache hitting rate of scheduling, simulation result shows that the proposed technique keeps 92% to 99% cache hit rate and in parallel finely balances backend server resource usage.