Green computing denotes energy efficiency in all components of computing systems i.e. hardware, software, local area, etc. Placement of jobs is a critical decision to address Poor Performance, Resource Contention and High Energy Consumption problems. Consolidation policies are one of the sources of information for effective placement of jobs in any computing paradigm. In this paper, we design two energy aware consolidation policies according to workload characteristics to model mainly resource contention among jobs and implement them as host selection policies of a scheduler. We evaluate our policies in HPC and cloud computing paradigms with traces from Parallel Workload Archives. The simulation results show improvements on resource contention metric against the greedy host selection policy.
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