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research-article

Green IT scheduling for data center powered with renewable energy

Authors:

Georges Da Costa,

Patricia StolfAuthors Info & Claims

Volume 86, Issue C

Pages 99 - 120

https://doi.org/10.1016/j.future.2018.03.049

Published: 01 September 2018 Publication History

Abstract

In recent years, the question of the energy consumption of data centers has become more and more important, and several studies raised the possibility of using renewable energy to power them. The intermittent nature of commonly used renewable energy sources is a major drawback of using them directly on-site. In this paper, we present an approach for scheduling batch jobs with due date constraints, which takes into account the availability of the renewable energy to reduce the need of brown energy and therefore running cost. The approach we propose differs from the existing methods by providing a scheduling algorithm agnostic of the electrical infrastructure. A separated system, managing the renewable sources, provides an arbitrary objective function, which is used to guide the scheduling heuristic. We implemented our approach in a data center simulator, and evaluated it by considering a small-scale center powered with solar panels and connected to the electrical grid. The relationship between the flexibility allowed by the user negotiated SLAs and the behavior of the algorithm is studied, and compared to existing approaches from the literature. Our experiments show a reduction of brown energy consumption up to 49% and a cost saving up to 51%, compared to a traditional scheduler unaware of renewable availability.

Highlights

•

A new scheduling algorithm aware of energy availability is proposed.

•

Several heuristics are implemented and compared.

•

Considering the electrical infrastructure as a black-box still lead to good results.

•

The amount of freedom allowed by the SLA greatly affects the achievable saving.

•

Simulations show a reduction of brown energy consumption up to 49%.

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Cited By

Song JZhu PZhang YYu G(2024)CloudSimPer: Simulating Geo-Distributed Datacenters Powered by Renewable Energy MixIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2024.335753235:4(531-547)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1109/TPDS.2024.3357532
Esmaili SKianfar K(2022)Grid Scheduling Considering Energy Consumption Management and Quality of ServiceJournal of Grid Computing10.1007/s10723-022-09620-320:3Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1007/s10723-022-09620-3
Renugadevi TGeetha KThampi SEl-Alfy ETrajkovic L(2021)Task aware optimized energy cost and carbon emission-based virtual machine placement in sustainable data centersJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-18988741:5(5677-5689)Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.3233/JIFS-189887
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Green IT scheduling for data center powered with renewable energy

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Information & Contributors

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Published In

cover image Future Generation Computer Systems

Future Generation Computer Systems Volume 86, Issue C

Sep 2018

1535 pages

ISSN:0167-739X

Issue’s Table of Contents

Elsevier B.V.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 September 2018

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Cited By

Song JZhu PZhang YYu G(2024)CloudSimPer: Simulating Geo-Distributed Datacenters Powered by Renewable Energy MixIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2024.335753235:4(531-547)Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1109/TPDS.2024.3357532
Esmaili SKianfar K(2022)Grid Scheduling Considering Energy Consumption Management and Quality of ServiceJournal of Grid Computing10.1007/s10723-022-09620-320:3Online publication date: 1-Sep-2022
https://dl.acm.org/doi/10.1007/s10723-022-09620-3
Renugadevi TGeetha KThampi SEl-Alfy ETrajkovic L(2021)Task aware optimized energy cost and carbon emission-based virtual machine placement in sustainable data centersJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-18988741:5(5677-5689)Online publication date: 1-Jan-2021
https://dl.acm.org/doi/10.3233/JIFS-189887
Sakshi Popli Jha RJain S(2021)A comprehensive survey on Green ICT with 5G-NB-IoTComputer Networks: The International Journal of Computer and Telecommunications Networking10.1016/j.comnet.2021.108433199:COnline publication date: 9-Nov-2021
https://dl.acm.org/doi/10.1016/j.comnet.2021.108433

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