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Energy-saving framework for data center from reduce, reuse and recycle perspectives

Recently, there is a heightened level of awareness towards energy efficiency in high-performance data centers both to reduce environmental pollution and save cost. Such data centers consume massive amount of energy for processing huge computational requirements from users. These supercomputers deman...

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Main Authors: Mohd Nor, Norhashimi, Hussin, Masnida, Abdullah, Rusli
Format: Article
Language:English
Published: Universiti Putra Malaysia Press 2019
Online Access:http://psasir.upm.edu.my/id/eprint/70614/1/17%20JST-1027-2017.pdf
http://psasir.upm.edu.my/id/eprint/70614/
http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2027%20(3)%20Jul.%202019/17%20JST-1027-2017.pdf
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spelling my.upm.eprints.706142019-08-20T00:49:32Z http://psasir.upm.edu.my/id/eprint/70614/ Energy-saving framework for data center from reduce, reuse and recycle perspectives Mohd Nor, Norhashimi Hussin, Masnida Abdullah, Rusli Recently, there is a heightened level of awareness towards energy efficiency in high-performance data centers both to reduce environmental pollution and save cost. Such data centers consume massive amount of energy for processing huge computational requirements from users. These supercomputers demand a constant supply of electricity to be available 24/7 for both its core computing functions as well as cooling the data center. Previously, researchers had introduced various strategies for achieving energy efficiency. However, in order to achieve a truly effective energy management, factors that influence energy usages must also be taken into consideration. The failure to manage such factors leads to excessive energy consumption. In this work, we shall focus on factors relevant to running the operation of high-performance data centers. We reconstructed and analyzed such factors or attributes based on the universally accepted Reduce, Reuse and Recycle Concept (3R). We recategorized energy attributes of the existing Energy Efficient Data Center Frameworks (EEDCFs) to be aligned with 3R. Then, we developed energy-saving algorithms in response to the concept. Our framework was then measured according to the performance metrics namely power usage effectiveness (PUE), energy reuse effectiveness (ERE) and carbon usage effectiveness (CUE) against variability size of data center. The simulation results of our EEDCF showed that better energy saving is achieved in comparison to the existing EEDCFs. This signifies that the application of the 3R concept in energy consumption yielded a promising result as a platform for other researchers to explore more on energy renewal initiatives and embrace it for future application. Universiti Putra Malaysia Press 2019 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/70614/1/17%20JST-1027-2017.pdf Mohd Nor, Norhashimi and Hussin, Masnida and Abdullah, Rusli (2019) Energy-saving framework for data center from reduce, reuse and recycle perspectives. Pertanika Journal of Science & Technology, 27 (3). pp. 1259-1277. ISSN 0128-7680; ESSN: 2231-8526 http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2027%20(3)%20Jul.%202019/17%20JST-1027-2017.pdf
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Recently, there is a heightened level of awareness towards energy efficiency in high-performance data centers both to reduce environmental pollution and save cost. Such data centers consume massive amount of energy for processing huge computational requirements from users. These supercomputers demand a constant supply of electricity to be available 24/7 for both its core computing functions as well as cooling the data center. Previously, researchers had introduced various strategies for achieving energy efficiency. However, in order to achieve a truly effective energy management, factors that influence energy usages must also be taken into consideration. The failure to manage such factors leads to excessive energy consumption. In this work, we shall focus on factors relevant to running the operation of high-performance data centers. We reconstructed and analyzed such factors or attributes based on the universally accepted Reduce, Reuse and Recycle Concept (3R). We recategorized energy attributes of the existing Energy Efficient Data Center Frameworks (EEDCFs) to be aligned with 3R. Then, we developed energy-saving algorithms in response to the concept. Our framework was then measured according to the performance metrics namely power usage effectiveness (PUE), energy reuse effectiveness (ERE) and carbon usage effectiveness (CUE) against variability size of data center. The simulation results of our EEDCF showed that better energy saving is achieved in comparison to the existing EEDCFs. This signifies that the application of the 3R concept in energy consumption yielded a promising result as a platform for other researchers to explore more on energy renewal initiatives and embrace it for future application.
format Article
author Mohd Nor, Norhashimi
Hussin, Masnida
Abdullah, Rusli
spellingShingle Mohd Nor, Norhashimi
Hussin, Masnida
Abdullah, Rusli
Energy-saving framework for data center from reduce, reuse and recycle perspectives
author_facet Mohd Nor, Norhashimi
Hussin, Masnida
Abdullah, Rusli
author_sort Mohd Nor, Norhashimi
title Energy-saving framework for data center from reduce, reuse and recycle perspectives
title_short Energy-saving framework for data center from reduce, reuse and recycle perspectives
title_full Energy-saving framework for data center from reduce, reuse and recycle perspectives
title_fullStr Energy-saving framework for data center from reduce, reuse and recycle perspectives
title_full_unstemmed Energy-saving framework for data center from reduce, reuse and recycle perspectives
title_sort energy-saving framework for data center from reduce, reuse and recycle perspectives
publisher Universiti Putra Malaysia Press
publishDate 2019
url http://psasir.upm.edu.my/id/eprint/70614/1/17%20JST-1027-2017.pdf
http://psasir.upm.edu.my/id/eprint/70614/
http://www.pertanika.upm.edu.my/Pertanika%20PAPERS/JST%20Vol.%2027%20(3)%20Jul.%202019/17%20JST-1027-2017.pdf
_version_ 1643839737725714432
score 13.211869

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