Hospital cloud computing system has the problems of demand uncertainty and heterogeneity of nodes,which causes load imbalance.Therefore,a load balancing hospital cloud computing system resource scheduling scheme is proposed.The scheme is based on the hybrid leapfrog algorithm,aiming at the problem that the hybrid leapfrog algorithm is easy to fall into the local optimal solution,a resource scheduling scheme of the hospital cloud computing system based on the discussion mechanism leapfrog algorithm is proposed.By increasing the number of self-adaptive discussions,the search capability of the algorithm is improved.Simulation results show that the proposed scheme has better performance of load balancing than the traditional load balancing scheme and can solve the problem that the hybrid leap frog algorithm falls into local optimum.%医院云计算系统存在需求的不确定性和节点资源的异构性问题,导致节点的负载失衡.为此,提出一种新的医院云计算系统资源调度方案.该方案基于混合蛙跳算法设计,并针对混合蛙跳算法容易陷入局部最优解的不足,给出一种基于讨论机制混合蛙跳算法改进的医院云计算系统资源调度方案,通过增加自适应讨论次数,提高算法的搜索能力.仿真实验结果表明,与传统负载均衡方案相比,该方案具有更好的负载均衡度性能,可解决混昆合蛙跳算法陷入局部最优的问题.
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