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Forecasting data centers power consumption with the Holt-Winters method

机译:用Holt-Winters方法预测数据中心的功耗

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Data centers are rapidly increasing in the last few years and this trend will continue in the future due to the market demand for virtual infrastructures, cloud services and IoT applications. The whole ICT sector is faced with an energy efficiency challenge and data centers represent a significant share of all ICT-related emissions. Improving energy efficiency has therefore become a critical objective for ICT infrastructures and equipment suppliers. To mitigate the electrical energy demand used both for computing and for cooling, many scheduling and planning methods have been proposed. All of them can benefit from accurate predictions of the workload. In this paper we demonstrate how forecasting tools can remarkably increase the energy efficiency of a data center.
机译:数据中心在过去几年中迅速增长,由于对虚拟基础架构,云服务和物联网应用的市场需求,这种趋势在未来还将继续。整个ICT行业都面临着能源效率挑战,数据中心在所有与ICT相关的排放中占很大的份额。因此,提高能源效率已成为ICT基础设施和设备供应商的关键目标。为了减轻用于计算和冷却的电能需求,已经提出了许多调度和计划方法。所有这些都可以从工作负载的准确预测中受益。在本文中,我们演示了预测工具如何显着提高数据中心的能源效率。

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