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ENERGY-EFFICIENT ALGORITHM BASED ON SERVICE-AWARENESS FOR DATA CENTRE NETWORKS

机译:基于数据中心网络服务意识的节能算法

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摘要

The high energy consumption of data centres has been a recurring issue in recent research. In cloud environments, several techniques have been used for energy saving, including scaling the processors' frequency, switching switches to sleep mode during idle periods and consolidating virtual machines. Although these techniques realize the reduction of power consumption, they usually affect application performance and do not consider the relations among these applications. To emphasize the relations among applications, in this paper, we propose a service-aware network model which is based on the traffic pattern in the data centre. First of all, we analyse the traffic model in data centre networks. Then we use this model to make the network devices integrated and classified by software-defined network. To achieve energy efficiency optimization, we divide the hosts into different Virtual Local Area Network (VLANs) according to their interaction frequency to reduce the cross-VLAN transmission consumption. Simulation results show that the proposed scheme can greatly improve the energy consumption in the network.
机译:最近研究的数据中心的高能量消耗是一个经常性问题。在云环境中,若干技术已被用于节能,包括缩放处理器频率,在空闲时段期间切换切换到睡眠模式并整合虚拟机。虽然这些技术实现了减少功耗,但它们通常会影响应用程序性能,并且不考虑这些应用之间的关系。为了强调应用之间的关系,在本文中,我们提出了一种基于数据中心的流量模式的服务感知网络模型。首先,我们分析数据中心网络中的流量模型。然后我们使用此模型来使网络设备通过软件定义的网络进行集成和分类。为了实现能效优化,我们根据其交互频率将主机分成不同的虚拟局域网(VLAN),以降低交叉VLAN传输消耗。仿真结果表明,该方案可以大大提高网络中的能耗。

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