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Operators of data centers are faced with the challenging goal of hosting applications that meet agreed service levels, at minimal operating costs. A significant part of these costs is energy related. Successfully reaching this goal requires optimal task-to-machine assignments. This activity relies on accurate energy and performance prediction. Widespread use of multi-core, multi-processor machines complicate past prediction methods. Therefore, this paper suggests to revisit task profiling, adoi:10.1109/cit.2011.107 dblp:conf/IEEEcit/PinelPBK11 fatcat:4acpptagcvf7tegwtiyvyhpkcq