Energy consumption is an important consideration in computing. Distributed computing environments and data centres consume substantial amounts of energy, and the cost of energy is increasing. We explore the possibility of reducing the energy consumption of a distributed computing resource through appropriate resource allocation strategies. We examine a number of possible workload scenarios and analyse the impact of different resource allocation mechanisms on power consumption and time taken to execute tasks. Our results show that the choice of resource allocation mechanism can substantially alter power usage, time, and the total energy consumption of a distributed computing resource.
1st Russia and Pacific Conference on Computer Technology and Applications (RPC 2010). Proceedings of the 1st Russia and Pacific Conference on Computer Technology and Applications (Vladivostock, Russia 6-9 December, 2010) p. 38-43