Green scheduling algorithm for a computational grid environment

Recently, the increasing demand for computing has led to the development of computational grids. Subsequently, the increased demand has also resulted in the significant heat management problem in the computational grid environment. The increased in computational workloads caused the servers to produ...

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Main Authors: Haruna, A.A., Jung, L.T., Zakaria, M.N., Haron, N.S.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.30496 /
Published: Institute of Electrical and Electronics Engineers Inc. 2016
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010408124&doi=10.1109%2fICCOINS.2016.7783218&partnerID=40&md5=dee414b7e5c887a7a9bcd37550bb37de
http://eprints.utp.edu.my/30496/
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recordtype eprints
spelling utp-eprints.304962022-03-25T07:09:12Z Green scheduling algorithm for a computational grid environment Haruna, A.A. Jung, L.T. Zakaria, M.N. Haron, N.S. Recently, the increasing demand for computing has led to the development of computational grids. Subsequently, the increased demand has also resulted in the significant heat management problem in the computational grid environment. The increased in computational workloads caused the servers to produce more heat, which consequently upsurges the cooling load. The extant research stated that the power supply for cooling such systems consumes quite a substantial portion (approximately 40 to 50) of the total power consumption in a Data Center (DC). Current approaches addressing this problem include new cooling technology or optimizing cooling delivery. Alternatively, this paper proposes a green scheduling algorithm with the objective to minimize the cooling load by avoiding high thermal stress circumstances such as large hot spots and thermal violations while still maintaining the competitive performance in DC. The experimental results significantly showed that the proposed green scheduling algorithm was able to save the consumption of cooling load by 22.02 in DC's server room. © 2016 IEEE. Institute of Electrical and Electronics Engineers Inc. 2016 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010408124&doi=10.1109%2fICCOINS.2016.7783218&partnerID=40&md5=dee414b7e5c887a7a9bcd37550bb37de Haruna, A.A. and Jung, L.T. and Zakaria, M.N. and Haron, N.S. (2016) Green scheduling algorithm for a computational grid environment. In: UNSPECIFIED. http://eprints.utp.edu.my/30496/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Recently, the increasing demand for computing has led to the development of computational grids. Subsequently, the increased demand has also resulted in the significant heat management problem in the computational grid environment. The increased in computational workloads caused the servers to produce more heat, which consequently upsurges the cooling load. The extant research stated that the power supply for cooling such systems consumes quite a substantial portion (approximately 40 to 50) of the total power consumption in a Data Center (DC). Current approaches addressing this problem include new cooling technology or optimizing cooling delivery. Alternatively, this paper proposes a green scheduling algorithm with the objective to minimize the cooling load by avoiding high thermal stress circumstances such as large hot spots and thermal violations while still maintaining the competitive performance in DC. The experimental results significantly showed that the proposed green scheduling algorithm was able to save the consumption of cooling load by 22.02 in DC's server room. © 2016 IEEE.
format Conference or Workshop Item
author Haruna, A.A.
Jung, L.T.
Zakaria, M.N.
Haron, N.S.
spellingShingle Haruna, A.A.
Jung, L.T.
Zakaria, M.N.
Haron, N.S.
Green scheduling algorithm for a computational grid environment
author_sort Haruna, A.A.
title Green scheduling algorithm for a computational grid environment
title_short Green scheduling algorithm for a computational grid environment
title_full Green scheduling algorithm for a computational grid environment
title_fullStr Green scheduling algorithm for a computational grid environment
title_full_unstemmed Green scheduling algorithm for a computational grid environment
title_sort green scheduling algorithm for a computational grid environment
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2016
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85010408124&doi=10.1109%2fICCOINS.2016.7783218&partnerID=40&md5=dee414b7e5c887a7a9bcd37550bb37de
http://eprints.utp.edu.my/30496/
_version_ 1741197416592310272
score 11.62408

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