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Cost Reduction for Micro-Grid Powered Data Center Networks with Energy Storage Devices

机译:带有储能设备的微电网供电数据中心网络的成本降低

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The data center networks including multiple geo-distributed data centers begin to surge for meeting the ever-increasing Internet demand. To reduce the electricity bills in data centers, the current efforts center on developing sustainable data centers and improving energy efficiency. In this paper, we power data center with a microgrid which have conventional generators (CG), renewable energy sources (RES) and connected with electricity markets. To smooth the RES uncertainty, we integrate energy storage devices into microgrid. Besides, we consider any kind of energy can be charged into batteries or directly cover the demand of data centers. A stochastic program is formulated by integrating the geo-distributed load balancing, the energy management in microgrid and server configuration while guaranteeing the quality of service experience by end users. We design an online algorithm using Lyapunov optimization techniques without foreseeing any future information. The numerical evaluations based on real-world data sets corroborate the superior performance in reducing cost compared with previous works.
机译:满足多个不断增长的Internet需求的数据中心网络(包括多个地理分布的数据中心)开始激增。为了减少数据中心的电费,当前的工作集中在开发可持续数据中心和提高能源效率上。在本文中,我们使用微电网为数据中心供电,微电网具有常规发电机(CG),可再生能源(RES)并与电力市场相连。为了消除RES的不确定性,我们将能量存储设备集成到微电网中。此外,我们认为可以将任何种类的能量充入电池或直接满足数据中心的需求。通过整合地理分布的负载平衡,微电网中的能源管理和服务器配置,制定了一个随机程序,同时保证了最终用户的服务质量。我们使用Lyapunov优化技术设计了一种在线算法,而没有预见任何未来的信息。与以前的工作相比,基于实际数据集的数值评估证实了在降低成本方面的卓越性能。

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