Energy-Efficient Resource Allocation and Provisioning Framework for Cloud Data Centers
Energy-Efficient Resource Allocation and Provisioning Framework for Cloud Data Centers
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DOI：
10.1109/tnsm.2015.2436408
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发表时间：
2015-05
影响因子：
5.3
通讯作者：
M. Dabbagh;B. Hamdaoui;M. Guizani;A. Rayes
中科院分区：
文献类型：
--
作者：
M. Dabbagh;B. Hamdaoui;M. Guizani;A. Rayes
由于财务和环境问题，能源效率最近已成为大型数据中心的主要问题。本文提出了一种集成的能源感知的云数据中心资源配置框架。拟议框架：i）预测在不久的将来将到达云数据中心的虚拟机（VM）请求的数量，沿着与这些请求中的每一个相关联的CPU和存储器资源的量，以及iii）通过使不需要的PM休眠来减少云数据中心的能量消耗。我们的框架是使用真实的谷歌跟踪收集超过29天的时间从谷歌集群包含超过12,500 PM的评估。这些评估表明，我们提出的能源感知资源配置框架，使大量的能源节约。
Energy efficiency has recently become a major issue in large data centers due to financial and environmental concerns. This paper proposes an integrated energy-aware resource provisioning framework for cloud data centers. The proposed framework: i) predicts the number of virtual machine (VM) requests, to be arriving at cloud data centers in the near future, along with the amount of CPU and memory resources associated with each of these requests, ii) provides accurate estimations of the number of physical machines (PMs) that cloud data centers need in order to serve their clients, and iii) reduces energy consumption of cloud data centers by putting to sleep unneeded PMs. Our framework is evaluated using real Google traces collected over a 29-day period from a Google cluster containing over 12,500 PMs. These evaluations show that our proposed energy-aware resource provisioning framework makes substantial energy savings.