Green Data Centers

Basmadjian, Robert; Bouvry, Pascal; Costa, Georges Da; Gyarmati, L; Kliazovich, Dzmitry; Lafond, Sébastien; Lefèvre, Laurent; Meer, Hermann de; Pierson, Jean‐Marc; Pries, Rastin; Torres, Jordi; Trinh, Tuan Anh; Khan, Samee U.

doi:10.1002/9781118981122.ch6

Cited by 12 publications

(6 citation statements)

References 81 publications

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“…While above researchers focused on addressing Green SLA, substantial amount of research has been done in coordinated multi-level power management [15], energy-efficient resource management [9][16], energy-efficient network-aware scheduling [19] and prominent green architecture [17] for Green data center. Recently, Basmadjian et al [38] summarized the existing proposals and solutions that deal with the energy consumption and its reduction possibilities in every aspect of a Cloud data center. In position to above works, our research exploits incorporating green energy to establish Green SLA, which can be harmonious and advantageous to existing trends and techniques used in modern data center to reduce carbon footprint.…”

Section: Green Slamentioning

confidence: 99%

Exploiting Renewable Sources: When Green SLA Becomes a Possible Reality in Cloud Computing

Hasan

Kouki

Ledoux

et al. 2017

IEEE Trans. Cloud Comput.

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While the proliferation of Cloud services have greatly impacted our society, how green are these services is yet to be answered. Although, demand escalation for green services has grown due to societal awareness, the approaches to provide green services and establish Green SLAs remain oblivious for cloud or infrastructure providers. The main challenge for cloud provider is to manage Green SLAs with their customers while satisfying their business objectives, such as maximizing profits by lowering expenditure for green energy. Since, Green SLA needs to be proposed based on the presence of green energy, the intermittent nature of renewable sources makes it difficult to be achieved. In response, this paper presents a scheme for green energy management in the presence of explicit and implicit integration of renewable energy in data center. More specifically we propose three contributions: i) we introduce the concept of virtualization of green energy to address the uncertainty of green energy availability, ii) we extend the Cloud Service Level Agreement (CSLA) language to support Green SLA by introducing two new threshold parameters and iii) we introduce greenSLA algorithm which leverages the concept of virtualization of green energy to provide per interval specific Green SLA. Experiments were conducted with real workload profile from PlanetLab and server power model from SPECpower to demonstrate that, Green SLA can be successfully established and satisfied without incurring higher cost.

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Section: Green Slamentioning

confidence: 99%

Exploiting Renewable Sources: When Green SLA Becomes a Possible Reality in Cloud Computing

Hasan

Kouki

Ledoux

et al. 2017

IEEE Trans. Cloud Comput.

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“…Equation (3) shows the energy efficiency ratio (EER) of a cooling system plant as a function of the ambient temperature [26]. To calculate the effect of the ambient temperature on the power consumption of the cooling system, the power consumption must be divided by F EER .…”

Section: Data Centre Power Management Modelmentioning

confidence: 99%

“…Data centres have large and growing energy requirements and are becoming significant consumers of energy. The Green Data Centre (GDC) architecture is one of the technologies proposed to alleviate this problem [1][2][3] by reducing consumption and increasing energy efficiency as well as utilising energy from sustainable sources [4,5]. Renewable power generation systems require comprehensive power control and energy management methods which can cope with the intermittent nature of these resources.…”

Section: Introductionmentioning

confidence: 99%

Inter-continental Data Centre Power Load Balancing for Renewable Energy Maximisation

2022

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The ever increasing popularity of Cloud and similar services pushes the demand for data centres, which have a high power consumption. In an attempt to increase the sustainability of the power generation, data centres have been fed by microgrids which include renewable generation—so-called `green data centres’. However, the peak load of data centres often does not coincide with solar generation, because demand mostly peaks in the evening. Shifting power to data centres incurs transmission losses; shifting the data transmission has no such drawback. We demonstrate the effectivity of computational load shifting between data centres located in different time zones using a case study that balances demands between three data centres on three continents. This study contributes a method that exploits the opportunities provided by the varied timing of peak solar generation across the globe, transferring computation load to data centres that have sufficient renewable energy whenever possible. Our study shows that balancing computation loads between three green data centres on three continents can improve the use of renewables by up to 22%. Assuming the grid energy does not include renewables, this amounts to a 13% reduction in CO2 emissions.

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“…However, the side-effect of the digitised systems is the DC's astronomical energy usage [2,22]. This motivates the study of energy efficiency techniques within the scope of DCs [3,4].…”

Section: Introductionmentioning

confidence: 99%

A Three-Level Modelling Approach for Asynchronous Speed Scaling in High-Performance Data Centres

Rumyantsev

Basmadjian

Golovin

et al. 2021

Proceedings of the Twelfth ACM International Conference on Future Energy Systems

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In data centres, there exist several techniques for energy efficiency purposes. When applied, most of those techniques have impact on the quality (e.g. performance) of the underlying services. A careful study is required in order to optimise such an energy-performance trade-off. In this paper, we study the speed scaling as an energy efficiency technique within the scope of high-performance computing (HPC) data centres. We propose a methodology based on threelevels: analytic, simulation and technical. At the analytical level, the matrix-analytic method (MAM) allows one to obtain energyperformance measures explicitly for a small-scale system. At the simulation level, discrete-event simulation (DES) based on the generalised semi-Markov processes (GSMP) is used to derive the corresponding estimates. Finally, at the technical level, a real small-scaled system in a controlled environment is used. The preliminary results demonstrate that simulation and technical models go well together with the theoretical one with an accuracy of more than 95%. CCS CONCEPTS• Hardware → Enterprise level and data centers power issues; • Mathematics of computing → Queueing theory; • Computing methodologies → Discrete-event simulation.

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Green Data Centers

Cited by 12 publications

References 81 publications

Exploiting Renewable Sources: When Green SLA Becomes a Possible Reality in Cloud Computing

Exploiting Renewable Sources: When Green SLA Becomes a Possible Reality in Cloud Computing

Inter-continental Data Centre Power Load Balancing for Renewable Energy Maximisation

A Three-Level Modelling Approach for Asynchronous Speed Scaling in High-Performance Data Centres

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