Abstract
Energy consumption is a matter of common concern in the world today. Research demonstrates that as a consequence of the constantly evolving and expanding field of information technology, data centers are now major consumers of electrical energy. Such high electrical energy consumption emphasizes the issues of sustainability and cost. Against this background, the present paper proposes a power load distribution algorithm (PLDA) to optimize energy distribution of data center power infrastructures. The PLDA, which is based on the Ford-Fulkerson algorithm, is supported by an environment called ASTRO, capable of performing the integrated evaluation of dependability, cost and sustainability. More specifically, the PLDA optimizes the flow distribution of the energy flow model (EFM). EFMs are responsible for estimating sustainability and cost issues of data center infrastructures without crossing the restrictions of the power capacity that each device can provide (power system) or extract (cooling system). Additionally, a case study is presented that analyzed seven data center power architectures. Significant results were observed, achieving a reduction in power consumption of up to 15.5%.
Highlights
As a result of the development of new paradigms, such as cloud computing, e-commerce and social networks, data center power consumption has increased significantly around the world in recent years (e.g., [1,2,3])
The conclusions of such studies are highly relevant to information technology (IT) companies when considering ways to minimize operational costs and maximize sustainability [10]
Row Bef ore gives the results obtained before executing the Power Load Distribution Algorithm (PLDA); row After is the results after PLDA execution; Improvement (%) is the improvement achieved in percentage; Op Exergy is the operational exergy in gigajoules (GJ); Op Cost is the operational cost in UDS; Availability is the availability level; Number 9s is the availability in number of nines (−log[1−A/100]); Downtime is the downtime cost per year; Input Power is the input power in kW; and System Efficiency is the system efficiency
Summary
As a result of the development of new paradigms, such as cloud computing, e-commerce and social networks, data center power consumption has increased significantly around the world in recent years (e.g., [1,2,3]). Data centers account for around 1.5% of the total power consumed in the U.S and represent a cost of $4.5 billion, a share that is expected to increase [5]. Optimization techniques applied to saving energy have developed significantly since 2000 [9]. The conclusions of such studies are highly relevant to information technology (IT) companies when considering ways to minimize operational costs and maximize sustainability [10]
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