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Use of virtualization technologies is becoming prevalent, including, but not limited to, the current commercial cloud environments. At the same time, besides resources costs and application performance, energy efficiency is becoming a dominant consideration while designing systems and executing applications on them. The premise of the work is that consolidation of scientific workflow tasks can be a promising approach for energy and resource cost optimization, without incurring substantial performance degradation. This is further supported by detailed analysis of resource requirements of scientific workflow tasks, and analysis of power consumption with use of virtualization and with consolidation of workloads.
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