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Utilization-based VM consolidation scheme for power efficiency in cloud data centers

机译:基于利用率的VM整合方案可提高云数据中心的能源效率

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Cloud computing offers utility-oriented services to users, which is supported by large-scale data center. Although virtualized data centers provide high performance computing service, they also consume enormous amount of power. To solve the problem, dynamic consolidation of Virtual Machines (VMs) is considered as an efficient way to reduce power consumption and guarantee Quality of Service (QoS). Live migration is applied into the dynamic consolidation, which allows VMs to be migrated to other hosts and aims to minimize the number of hosts in data centers. However, the migration overhead is essential to be taken into account and massive migrations will lead to performance degradation and extra power consumption. In this paper, we propose a utilization-based migration algorithm (UMA) to migrate VMs to stable hosts, which efficiently reduces migration time and power consumption. Experiment results show that our UMA can reduce about 77.5%-82.4% migrations and save up to 39.3% -42.2% power consumption compared with the MinPower policy.
机译:云计算为用户提供面向实用程序的服务,这得到了大型数据中心的支持。尽管虚拟化的数据中心提供高性能的计算服务,但它们也会消耗大量的电量。为了解决该问题,虚拟机(VM)的动态整合被认为是减少功耗和保证服务质量(QoS)的有效方法。实时迁移被应用到动态整合中,这允许将VM迁移到其他主机,并旨在最大程度地减少数据中心中的主机数量。但是,必须考虑迁移开销,并且大规模迁移将导致性能下降和额外的功耗。在本文中,我们提出了一种基于利用率的迁移算法(UMA),用于将VM迁移到稳定的主机,从而有效地减少了迁移时间和功耗。实验结果表明,与MinPower策略相比,我们的UMA可以减少约77.5%-82.4%的迁移,并节省多达39.3%-42.2%的功耗。

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