%P 419-423
%I IEEE Computer Society
%A A.A. Haruna
%A L.T. Jung
%A N. Zakaria
%A J. Okitsu
%V 2015-A
%T Performance comparison of thermal aware job scheduling based on multi priorities on computational grid
%R 10.1109/ICUFN.2015.7182578
%D 2015
%J International Conference on Ubiquitous and Future Networks, ICUFN
%L scholars5801
%O cited By 1; Conference of 7th International Conference on Ubiquitous and Future Networks, ICUFN 2015 ; Conference Date: 7 July 2015 Through 10 July 2015; Conference Code:114392
%K Cooling; Electric power utilization; Scheduling, Competitive performance; Electricity-consumption; First come first serves; Job scheduling algorithms; Performance comparison; Slack time; Thermal-Aware; Thermal-aware scheduling, Grid computing
%X 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.