Performance comparison of thermal aware job scheduling based on multi priorities on computational grid

Electricity consumption for cooling purpose is known to be the most expensive operational cost factor in data centers. Inefficient cooling leads to high temperature and this in turn leads to hardware failure. This paper proposes a Thermal Aware Modified Least Slack Time Round Robin Based (MLST-RR) s...

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Main Authors: Haruna, A.A., Jung, L.T., Zakaria, N., Okitsu, J.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.31510 /
Published: IEEE Computer Society 2015
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944680797&doi=10.1109%2fICUFN.2015.7182578&partnerID=40&md5=fe20bd6565dc87907cbdb7370971625b
http://eprints.utp.edu.my/31510/
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id utp-eprints.31510
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spelling utp-eprints.315102022-03-26T03:21:18Z Performance comparison of thermal aware job scheduling based on multi priorities on computational grid Haruna, A.A. Jung, L.T. Zakaria, N. Okitsu, J. Electricity consumption for cooling purpose is known to be the most expensive operational cost factor in data centers. Inefficient cooling leads to high temperature and this in turn leads to hardware failure. This paper proposes a Thermal Aware Modified Least Slack Time Round Robin Based (MLST-RR) scheduling algorithm that can avoid high thermal stress circumstances such as large hotspots, thermal violations as well as reduce electricity consumption for cooling in data center labs. The experimental results show that, the thermal aware MLST-RR is able to significantly decrease the electricity consumption while maintaining competitive performance. Specifically, the thermal aware scheduling algorithm saves electricity consumption as much as 15000KW compared to the benchmark job scheduling algorithms such as Round Robin (RR) and First Come First Serve (FCFS); this is an electrical saving of 8.4. © 2015 IEEE. IEEE Computer Society 2015 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944680797&doi=10.1109%2fICUFN.2015.7182578&partnerID=40&md5=fe20bd6565dc87907cbdb7370971625b Haruna, A.A. and Jung, L.T. and Zakaria, N. and Okitsu, J. (2015) Performance comparison of thermal aware job scheduling based on multi priorities on computational grid. In: UNSPECIFIED. http://eprints.utp.edu.my/31510/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Electricity consumption for cooling purpose is known to be the most expensive operational cost factor in data centers. Inefficient cooling leads to high temperature and this in turn leads to hardware failure. This paper proposes a Thermal Aware Modified Least Slack Time Round Robin Based (MLST-RR) scheduling algorithm that can avoid high thermal stress circumstances such as large hotspots, thermal violations as well as reduce electricity consumption for cooling in data center labs. The experimental results show that, the thermal aware MLST-RR is able to significantly decrease the electricity consumption while maintaining competitive performance. Specifically, the thermal aware scheduling algorithm saves electricity consumption as much as 15000KW compared to the benchmark job scheduling algorithms such as Round Robin (RR) and First Come First Serve (FCFS); this is an electrical saving of 8.4. © 2015 IEEE.
format Conference or Workshop Item
author Haruna, A.A.
Jung, L.T.
Zakaria, N.
Okitsu, J.
spellingShingle Haruna, A.A.
Jung, L.T.
Zakaria, N.
Okitsu, J.
Performance comparison of thermal aware job scheduling based on multi priorities on computational grid
author_sort Haruna, A.A.
title Performance comparison of thermal aware job scheduling based on multi priorities on computational grid
title_short Performance comparison of thermal aware job scheduling based on multi priorities on computational grid
title_full Performance comparison of thermal aware job scheduling based on multi priorities on computational grid
title_fullStr Performance comparison of thermal aware job scheduling based on multi priorities on computational grid
title_full_unstemmed Performance comparison of thermal aware job scheduling based on multi priorities on computational grid
title_sort performance comparison of thermal aware job scheduling based on multi priorities on computational grid
publisher IEEE Computer Society
publishDate 2015
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944680797&doi=10.1109%2fICUFN.2015.7182578&partnerID=40&md5=fe20bd6565dc87907cbdb7370971625b
http://eprints.utp.edu.my/31510/
_version_ 1741197586983813120
score 11.62408

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