Energy-Efficient Strategy with a Speed Switch and a Multiple-Sleep Mode in Cloud Data Centers
Energy-Efficient Strategy with a Speed Switch and a Multiple-Sleep Mode in Cloud Data Centers
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DOI：
10.1007/978-3-319-68520-5_9
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发表时间：
2017-08
期刊：
影响因子：
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通讯作者：
Shunfu Jin;Shanshan Hao;Wuyi Yue
中科院分区：
文献类型：
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作者：
Shunfu Jin;Shanshan Hao;Wuyi Yue
由于能源成本的快速增长和日益严格的环境标准，能源消耗已成为云数据中心运营和维护的重要支出。为了提高云数据中心的能源效率，提出了一种带速度切换和多重休眠模式的节能策略。根据当前的流量负载，一部分虚拟机（VM）以低速或高速运行，而剩余的VM要么休眠要么以高速运行。在我们的策略中，我们开发了一个连续时间的自适应服务率和部分同步休假模型。我们根据系统中的请求总数和所有VM的状态构建了一个二维马尔可夫链。利用矩阵几何解法，对系统的节能水平进行了数学估算。分析和仿真的数值实验表明，我们提出的节能策略可以在保证CDC服务质量的前提下有效降低能耗。
Due to the rapid growth of energy costs and increasingly strict environmental standards, energy consumption has become a significant expenditure for the operating and maintaining of a cloud data center. To improve the energy efficiency of cloud data centers, in this paper, we propose an energy-efficient strategy with a speed switch and a multiple-sleep mode. According to current traffic loads, a proportion of Virtual Machines (VMs) operate at a low speed or a high speed, while the remaining VMs either sleep or operate at a high speed. In our strategy, we develop a continuous-time queueing model with an adaptive service rate and a partial synchronous vacation. We construct a two-dimensional Markov chain based on the total number of requests in the system and the state of all the VMs. By using the method of a matrix geometric solution, we mathematically estimate the energy saving level of the system. Numerical experiments with analysis and simulation show that our proposed energy-efficient strategy can effectively reduce the energy consumption on the premise of guaranteeing the Quality of Service of CDCs.