relation: https://khub.utp.edu.my/scholars/5801/
title: Performance comparison of thermal aware job scheduling based on multi priorities on computational grid
creator: Haruna, A.A.
creator: Jung, L.T.
creator: Zakaria, N.
creator: Okitsu, J.
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.
publisher: IEEE Computer Society
date: 2015
type: Conference or Workshop Item
type: PeerReviewed
identifier:   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.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944680797&doi=10.1109%2fICUFN.2015.7182578&partnerID=40&md5=fe20bd6565dc87907cbdb7370971625b
relation: 10.1109/ICUFN.2015.7182578
identifier: 10.1109/ICUFN.2015.7182578