CAJ | 학술논문

由于云计算环境的动态性和复杂性，云环境很容易出现负载失衡现象。文章将精英选择策略引入遗传算法中，结合虚拟机综合负载能力指标，提出了基于改进遗传算法（IGA）的负载均衡优化模型。仿真实验表明，相对于Min-Min算法， IGA算法能很好满足云环境下负载均衡的要求，提高资源利用率和负载均衡度。
유우운계산배경적동태성화복잡성，운배경흔용역출현부재실형현상。문장장정영선택책략인입유전산법중，결합허의궤종합부재능력지표，제출료기우개진유전산법（IGA）적부재균형우화모형。방진실험표명，상대우Min-Min산법， IGA산법능흔호만족운배경하부재균형적요구，제고자원이용솔화부재균형도。
Due to the dynamic and complex nature in the cloud computing, cloud environment is prone to load imbalance. This paper introduced elitist selection strategy in genetic algorithm, combined with the virtual machine integrated load capacity index, and proposed optimization model of load balancing based on the improved genetic algorithm. Simulation results show that, compared with Min-Min algorithm, IGA algorithm can well meet the requirements of load balancing in cloud environment, and improve resource utilization and load balance degree.