首页> 外文期刊>Journal of grid computing >Energy-Aware Virtual Machine Consolidation Algorithm Based on Ant Colony System
【24h】

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

获取原文
获取原文并翻译 | 示例
           

摘要

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:由于与能源相关的成本和环境影响,能源消耗已成为数据中心的一个关键问题。本文提出了一种基于蚁群算法的云数据中心虚拟机整合算法,旨在解决云数据中心的能耗问题。我们认为VMS迁移过程中的能耗是传统算法中未考虑的主要因素之一。它显著减少了迁移和活动物理机器的数量,从而降低了数据中心的总能耗。在不同场景下对随机工作负载的仿真结果表明,该算法在迁移次数、睡眠PM次数、违反SLA次数和能耗方面优于最新的VM整合算法。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号