Abstract：Aiming at the problem of resource competition in the system of traditional cloud computing， an improved computing resource scheduling model of cloud computing based on particle swarm optimization is proposed to improve the utilization rate of resources. Firstly， the resource scheduling problem of cloud computing is formalized， which defines the objective function of optimization object and constructs the total completion time for the tasks. Secondly， the particle swarm optimization is introduced to resolve the above problem， and inertia weight function is defined to keep the particles from swarming into the local optimum under the premise of ensuring the convergence speed. The simulation results show that the proposed resource scheduling model can improve the utilization of cloud computing resources effectively， and reduce the processing time of the task greatly.
王 虎,雷建军,万润泽. 基于改进的粒子群优化的云计算资源调度模型[J]. 华中师范大学学报(自然科学版), 2018, 52(6): 788-791.
WANG Hu,LEI Jianjun,WAN Runze. An improved computing resource scheduling model of cloud computing based on particle swarm optimization. journal1, 2018, 52(6): 788-791.
2018, Vol. 52 
