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在云环境中,组件服务副本增删是保障云服务性能的有效方法。传统方法在增加副本时缺乏对待增组件服务副本的资源需求量的分析,删除副本时缺少对组件服务之间的资源竞争的考虑,影响云服务性能保障的效果。根据组件服务资源需求量评估模型,提出基于组件服务资源需求量的目标虚拟机选择算法,以及基于虚拟机资源使用量的最优组件服务副本删除算法。实验结果表明,提出的组件服务的副本增删方法可以有效的保障云服务系统的性能。
In the cloud environment, adding or deleting component service copies is an effective way to guarantee the performance of cloud services. The traditional method lacks the analysis of the resource requirement for increasing the service copy of the augmented component while increasing the copy, and lacks the consideration of resource competition among component services when deleting the copy, and affects the performance guarantee of the cloud service. According to component service resource demand assessment model, a target virtual machine selection algorithm based on component service resource demand and an optimal component service copy deletion algorithm based on virtual machine resource usage are proposed. The experimental results show that the proposed method of adding, deleting and adding components can effectively guarantee the performance of cloud service.