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Cloud Resource Scheduling Method Based on Hybrid Particle Swarm Optimization

机译:基于混合粒子群算法的云资源调度方法

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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:作为一种新的计算模型,云计算通过应用虚拟化技术以服务的形式向用户提供基础设施资源,例如计算和数据中心存储。用户可以根据自己的需要访问数据中心的资源,从而为用户提供更好的服务。本文主要通过引入混合粒子群算法(HPSO)对粒子群算法进行改进。实验表明,改进后的算法可以减少任务的总时间和总成本。

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