Profit maximization and power management of green data centers supporting multiple slas

Mahdi Ghamkhari, Hamed Mohsenian Rad
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引用次数: 22

Abstract

While a large body of work has recently focused on reducing data center's energy expenses, there exists no prior work on investigating the trade-off between minimizing data center's energy expenditure and maximizing their revenue for various Internet and cloud computing services that they may offer. In this paper, we seek to tackle this shortcoming by proposing a systematic approach to maximize green data center's profit, i.e., revenue minus cost. In this regard, we explicitly take into account practical service-level agreements (SLAs) that currently exist between data centers and their customers. Our model also incorporates various other factors such as availability of local renewable power generation at data centers and the stochastic nature of data centers' workload. Furthermore, we propose an optimization-based profit maximization strategy for data centers for both cases, without and with behind-the-meter renewable generators. Using various experimental data and via computer simulations, we assess the accuracy of the proposed mathematical model for profit and also the performance of the proposed optimization-based profit maximization strategy.
支持多个sla的绿色数据中心的利润最大化和电源管理
虽然最近大量的工作都集中在减少数据中心的能源支出上,但之前没有研究最小化数据中心的能源支出和最大化他们可能提供的各种互联网和云计算服务的收入之间的权衡。在本文中,我们试图通过提出一种系统的方法来解决这一缺点,以最大化绿色数据中心的利润,即收入减去成本。在这方面,我们明确考虑了当前存在于数据中心及其客户之间的实际服务水平协议(sla)。我们的模型还包含了各种其他因素,例如数据中心本地可再生能源发电的可用性以及数据中心工作负载的随机性。此外,我们提出了一种基于优化的利润最大化策略,适用于两种情况下的数据中心,包括不使用和使用仪表后可再生发电机。利用各种实验数据并通过计算机模拟,我们评估了所提出的利润数学模型的准确性,以及所提出的基于优化的利润最大化策略的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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