TY  - CONF
N1  - cited By 1; Conference of 7th International Conference on Advances in Information Technology, 2015 ; Conference Date: 22 November 2015 Through 25 November 2015; Conference Code:123138
N2  - Electricity consumption typically forms the biggest portion of a Data Centre's operational cost, with the biggest consumers, in roughly equal proportion, being the servers and the cooling units. In an effort to reduce electricity consumption, in this paper, we propose a grid scheduling algorithm that takes advantage of a prior Gas-District Cooling Data Centre model to reduce the cooling energy consumption. The scheduling algorithm is an extension of a prior version that has been shown to perform with competitive average turnaround time, waiting time and maximum tardiness in heterogeneous grid environments. Experimental analysis shows that the proposed method was able to reduce cooling electricity consumption by 20. Further, by increasing the maximum allowable temperature by 1 degree, the proposed method was able to save an additional 3. © 2015 The Authors.
TI  - Cooling-Efficient Job Scheduling in a Heterogeneous Grid Environment
ID  - scholars6133
SP  - 104
KW  - Cooling; Electric power utilization; Energy utilization; Grid computing; Scheduling; Turnaround time
KW  -  Cooling energy; Cooling energy consumption; Data centres; Electricity-consumption; Experimental analysis; Grid environments; Job scheduling; Maximum tardiness
KW  -  Scheduling algorithms
AV  - none
A1  - Haruna, A.A.
A1  - Jung, L.T.
A1  - Zakaria, N.
A1  - Okitsu, J.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84962859984&doi=10.1016%2fj.procs.2015.10.011&partnerID=40&md5=ec2df4cbc6c1de38a3db66f26310bfd1
EP  - 115
VL  - 69
Y1  - 2015///
PB  - Elsevier B.V.
SN  - 18770509
ER  -