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IC3
2009

Energy Efficiency of Thermal-Aware Job Scheduling Algorithms under Various Cooling Models

10 years 9 months ago
Energy Efficiency of Thermal-Aware Job Scheduling Algorithms under Various Cooling Models
One proposed technique to reduce energy consumption of data centers is thermal-aware job scheduling, i.e. job scheduling that relies on predictive thermal models to select among possible job schedules to minimize its energy needs. This paper investigates, using a more realistic linear cooling model, the energy savings of previously proposed thermal-aware job scheduling algorithms, which assume a less realistic model of constant cooling. The results show that the energy savings achieved are greater than the savings previously predicted. The contributions of this paper include: i) linear cooling models should be used in analysis and algorithm design, and ii) although the job scheduler must control the cooling equipment to realize most of the thermal-aware job schedule's savings, some savings can be still achieved without that control.
Georgios Varsamopoulos, Ayan Banerjee, Sandeep K.
Added 18 Feb 2011
Updated 18 Feb 2011
Type Journal
Year 2009
Where IC3
Authors Georgios Varsamopoulos, Ayan Banerjee, Sandeep K. S. Gupta
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