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首页> 外文期刊>Journal of grid computing >Energy-Aware Virtual Machine Consolidation Algorithm Based on Ant Colony System
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Energy-Aware Virtual Machine Consolidation Algorithm Based on Ant Colony System

机译:基于蚁群系统的能量感知虚拟机整合算法

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Energy consumption has become a critical issue for data centers due to energy-associated costs and environmental effects. In this paper, we propose a new algorithm based on Ant Colony System to solve Virtual Machine Consolidation problem aims to save the energy consumption of cloud data centers. We consider the energy consumption during VMs migration as one of the primary factors which have not considered in the similar conventional algorithms. It significantly reduces the number of migrations and the active physical machines that result in the reduction of total energy consumption of data centers. The simulation results on the random workload in different scenarios demonstrate that the proposed algorithm outperforms the state-of-the-art VM Consolidation algorithm with regards to the number of migrations, number of sleeping PMs, number of SLA Violations, and energy consumption.
机译:由于能源相关成本和环境影响,能源消耗已成为数据中心的关键问题。 在本文中,我们提出了一种基于蚁群系统的新算法来解决虚拟机整合问题的旨在节省云数据中心的能耗。 我们考虑VMS迁移期间的能量消耗作为在类似的传统算法中不考虑的主要因素之一。 它显着降低了导致数据中心总能耗的减少的迁移数和主动物理机器的数量。 不同方案中随机工作量的仿真结果表明,所提出的算法优于最先进的VM整合算法关于迁移数,睡眠PMS数量,SLA违规数量和能量消耗。

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