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How energy consumption in the cloud data center is calculated

机译:如何计算云数据中心的能量消耗

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Energy efficiency has turned into an undeniably essential worry in data centers as a result of issues related to energy consumption, including capital costs, working costs, and natural effect. While energy wastage, because of imperfect utilization of facilities and IT hardware, has to a great extent been decreased using best-practice advances, tending to energy loss in IT equipment, still requires the plan and usage of energy-aware resource management frameworks. Various methods aimed to enhance the energy efficiency in data centers have been developed in the field related to the development of resource allocation. In fact, researchers and scientists utilize numerous ways to improve effectiveness for optimized power and performance: scaling virtual machine and server preparing abilities to minimize energy consumption, enhancing resource use through exploiting its heterogeneity and consolidating the workload. To accomplish these objectives, there is multiple proposes models, calculations, algorithms, techniques, and procedures that diminish energy use using virtual machine scaling, virtual machine sizing for CPU and memory, CPU frequency adjustment, and also equipment power control for resource allocation in the server-level. In this context, we present different formulas for calculating energy consumption in cloud data centers and we propose a simplified and completed deduced formula for energy consumption estimation.
机译:由于与能源消耗有关的问题,能源效率在数据中心转变为无疑的必要担忧,包括资本成本,工作成本和自然效果。虽然能源浪费,由于设施和IT硬件的不完美利用,但在很大程度上使用最佳实践的进步,趋向于IT设备中的能量损失,仍需要计划和使用能量感知资源管理框架。旨在提高数据中心中的能源效率的各种方法已经在与资源分配的发展有关的领域中开发。事实上,研究人员和科学家利用了许多方法来提高优化功率和性能的有效性:缩放虚拟机和服务器准备能力最大限度地减少能源消耗,通过利用其异质性并巩固工作量来增强资源。为了实现这些目标,有多个提出的模型,计算,算法,技术和程序,使用虚拟机的扩展,虚拟机大小的CPU和内存,CPU频率调节,并且还装备功率控制在资源分配减退能源利用服务器级别。在这种情况下,我们呈现不同的公式,用于计算云数据中心的能量消耗,并提出了一种简化和完成推导的用于能耗估计的公式。

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