• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Arabian Journal for Science and Engineering >Task Deadline-Aware Energy-Efficient Scheduling Model for a Virtualized Cloud
【24h】

Task Deadline-Aware Energy-Efficient Scheduling Model for a Virtualized Cloud

机译：虚拟云的任务截止日期感知节能计划模型

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Data centers in cloud environment consume high amount of energy which not only raises the electricity bills of the data center hosting organizations but also has the strong environmental footprints. Therefore, energy efficiency of the data centers has become an important research issue. Many energy efficiency approaches have been proposed in the literature for cloud. Efficient resource scheduling is one of the important approaches to achieve energy efficiency in cloud. In this paper, a task deadline-aware energy-efficient scheduling model for virtualized cloud is presented. Independent and dynamically arriving deadline-aware tasks are scheduled by virtualizing the physical hosts in the data center. The proposed scheduling model at the first instance achieves the energy efficiency by executing maximum workload in the operational state of the host and at the second instance by maximum energy saving in the idle state of the host. In the operational state of the host, maximum workload is executed by exploiting the task slack time in a new context, and in the idle state of the host, maximum energy is saved by deploying core-level granularity of dynamic voltage and frequency scaling. The presented scheduling model is evaluated on the synthetic and real-world workload. Results clearly indicate that the presented scheduling model outperforms the existing scheduling model on the account of performance parameters of guarantee ratio, total energy consumption, energy consumption per task and resource utilization.
机译：云环境中的数据中心消耗大量能源，这不仅增加了数据中心托管组织的电费，而且具有强大的环境足迹。因此，数据中心的能效已经成为重要的研究课题。在云的文献中已经提出了许多能源效率方法。高效的资源调度是在云中实现能源效率的重要方法之一。本文提出了一种基于任务期限的节能型虚拟化云调度模型。通过虚拟化数据中心中的物理主机，可以调度独立且动态到达期限的任务。所提出的调度模型在第一实例中通过在主机的运行状态下执行最大工作量来实现能源效率，而在第二实例中，通过在主机的空闲状态下进行最大节能量来实现能源效率。在主机的运行状态下，通过在新的上下文中利用任务的空闲时间来执行最大的工作量，而在主机的空闲状态下，通过部署动态电压和频率缩放的内核级粒度可以节省最大的能量。在综合的和实际的工作负载上评估了提出的调度模型。结果清楚地表明，在保证率，总能耗，每任务能耗和资源利用率等性能参数的基础上，提出的调度模型优于现有调度模型。

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