To overcome the shortcoming of the load balancing method in cloud computing

a load balancing method for cloud computing platform is proposed

which is inspired by the system logic hierarchical and multi-agent theory.By making use of the idea of logical layer of cloud computing platform

on the one hand

task monitoring agents and task sub-agents are set up in the task agent layer.According to the diversity of users' tasks

the method completes the task scheduling based on the task priority and QoS constrained;on the other hand

resource monitoring agents and resource sub-agents are set up in resource agent layer.Considering the heterogeneity of physical nodes

the method maps the virtual machine to the physical nodes by the resource allocation policy based on the greedy heuristic.Implementation results show that the new method outperforms the others in terms of efficiency of task scheduling

makespan of task

task time-constraint violation time and load balancing.Moreover

after multi-agent effectively shares the management load of the center management node

task processing ability

resource utilization rate and robustness of the cloud computing platform are significantly improved.