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Coordinated Energy Cost Management of Distributed Internet Data Centers in Smart Grid

机译:智能电网中分布式Internet数据中心的能源成本协调管理

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This paper addresses the problem of electricity cost management for Internet service providers with a collection of spatially distributed data centers. As the demand on Internet services drastically increases in recent years, the electricity consumed by Internet data centers (IDCs) has been skyrocketing. While most existing research focuses on reducing electric energy consumption of IDCs at one specific location, the problem of reducing the total electricity cost has been overlooked. This is an important problem faced by service providers, especially in the present multi-electricity-market environment, where the price of electricity may exhibit temporal and spatial diversities. Further, for these service providers, guaranteeing the quality of service (i.e., service level objectives) such as service delay guarantees to the end users is of critical importance. This paper studies the problem of minimizing the total electricity cost under multiple electricity markets environment while guaranteeing the quality of service geared to the location diversity and time diversity of electricity price. The problem is modeled as a constrained mixed-integer programming and an efficient solution algorithm is proposed. Extensive evaluations based on real-world electricity price data for multiple IDC locations illustrate the efficiency and efficacy of our approach.
机译:本文通过收集空间分布的数据中心来解决Internet服务提供商的电费管理问题。近年来,随着对Internet服务的需求急剧增加,Internet数据中心(IDC)消耗的电力激增。尽管大多数现有研究集中于减少特定位置的IDC的电能消耗,但降低总电力成本的问题却被忽略了。这是服务提供商面临的重要问题,尤其是在当前的多电市场环境中,在该市场中电价可能表现出时间和空间上的多样性。此外,对于这些服务提供商而言,保证服务质量(即,服务水平目标),例如对最终用户的服务延迟保证至关重要。本文研究了在多重电力市场环境下使总电力成本最小化的问题,同时保证了针对电价的地区多样性和时间多样性的服务质量。该问题被建模为约束混合整数规划,并提出了一种有效的求解算法。基于真实世界中多个IDC位置的电价数据的广泛评估说明了我们方法的效率和功效。

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