A Modified Load Balancing System for Cluster Servers under Mass Concurrence

This article has made improvement in the architecture of regular server clusters,The concept of "decision maker"is put forward,which trains scheduling sequence;Moreover,according to adaptive niche genetic algorithm (ANGA), the adaptive eigenvalue is regarded as evaluation criterion which can be reasonably applied in the controlling system of load balance.Furthermore,a network environment is simulated by thousands of test.It is demonstrated by experimental data and analysis that the average responding time of the system is 2 ms.At the same time,error rate approaches 0.Compared with the system before improvement,the new system is more balanced use and stable in performance.