首页> 外文会议> >Energy Efficient VM Placement Heuristic Algorithms Comparison for Cloud with Multidimensional Resources
【24h】

Energy Efficient VM Placement Heuristic Algorithms Comparison for Cloud with Multidimensional Resources

机译:具有多维资源的云的高效节能VM放置启发式算法比较

获取原文
获取外文期刊封面目录资料

摘要

Cloud computing provides user utility-oriented IT services, yet accompanied with huge energy consuming, which contributes to the high operational cost as well as CO_2 emission. Making Cloud computing energy efficient can lead to a better tradeoff between profit and environmental impact. In this paper, we formulate the energy efficient VM placement problem in Cloud architecture with multidimensional resources and introduce the objective of this problem. Heuristic algorithms including three traditional local search algorithms and generic algorithm (GA) are presented to provide possible optimized solution. We conduct experiments based on Cloudsim. The result shows that GA sometimes provide the best solution, but with poor stabability. Although the BF provide neither the best nor the worst solution most of time, it have the best stabability.
机译:云计算提供了面向用户实用程序的IT服务,但伴随着巨大的能源消耗,这导致了高昂的运营成本以及CO_2排放。使云计算能效更高可以在利润和环境影响之间取得更好的平衡。在本文中,我们用多维资源公式化了云架构中的节能VM放置问题,并介绍了该问题的目的。提出了包括三种传统本地搜索算法和通用算法(GA)的启发式算法,以提供可能的优化解决方案。我们基于Cloudsim进行实验。结果表明,遗传算法有时会提供最佳解决方案,但稳定性较差。尽管高炉大多数时间都无法提供最佳或最差的解决方案,但它具有最佳的稳定性。

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