%X 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.
%K Air conditioning; Cooling; Cooling systems; Grid computing; Information science; Scheduling, Competitive performance; Computational grids; Computational workload; Cooling technology; Data centers; Thermal violations; Thermal-Aware; Total power consumption, Scheduling algorithms
%J 2016 3rd International Conference on Computer and Information Sciences, ICCOINS 2016 - Proceedings
%L scholars6492
%O cited By 2; Conference of 3rd International Conference on Computer and Information Sciences, ICCOINS 2016 ; Conference Date: 15 August 2016 Through 17 August 2016; Conference Code:125433
%R 10.1109/ICCOINS.2016.7783218
%D 2016
%A A.A. Haruna
%A L.T. Jung
%A M.N. Zakaria
%A N.S. Haron
%I Institute of Electrical and Electronics Engineers Inc.
%T Green scheduling algorithm for a computational grid environment
%P 221-226