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The idea of turning data centers executing scientific batch jobs into private clouds is as attractive as troubling. Cloud platforms may help both in limiting power consumption and in implementing fault tolerance strategies. However, there is also the fear that performance may worsen, and that the electricity required for longer job duration and fault tolerance implementation may overcome the saved...
Energy efficiency of large processing systems is usually assessed as the relation between a performance and a power consumption metric, neglecting malfunction. Execution failures have a tangible cost in terms of wasted energy, however. They are often managed through fault tolerance mechanisms, which in turn consume electricity. We introduce the consumability attribute for batch processing systems,...
Performance, energy efficiency, and dependability are key characteristics of batch systems, which can be differently affected when adopting virtualization. Scientific literature usually analyzes the variation with respect to different configurations of one characteristic, or the trade-off between two. In this paper, instead, we assess the impact of virtualization encompassing all of them. Results...
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