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Cloud Resource Scheduling Method Based on Hybrid Particle Swarm Optimization

机译:基于混合粒子群优化的云资源调度方法

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As a new computing model, cloud computing delivers infrastructure resources such as computing and storage of data centers to users in the form of services by applying virtualized technologies. Users can access the resources of the data center on their own needs, which provides a better service to users. This paper mainly improves the particle swarm optimization algorithm by introducing a hybrid particle swarm optimization (HPSO) algorithm. Experiments showed that the improved algorithm can reduce the total time consumption and total cost of the task.
机译:作为一个新的计算模型,云计算通过应用虚拟化技术,提供基础架构资源,例如以服务的形式计算和存储数据中心。用户可以根据自己的需求访问数据中心的资源,这为用户提供了更好的服务。本文主要通过引入混合粒子群优化(HPSO)算法来改善粒子群优化算法。实验表明,改进的算法可以减少总时间消耗和任务总成本。

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