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An elastic cloud provisions machine instances upon user demand. Auto-scaling, scale-out, scale-up, or any mixture techniques are used to reconfigure the user cluster as workload changes. We evaluate three scaling strategies to upgrade the performance, efficiency and productivity of elastic clouds like EC2, Rackspace, etc. We developed new performance models and run the HiBench benchmark to test Hadoop performance on various EC2 configurations. The strengths and shortcomings of three scalingdoi:10.1109/cloudcom.2014.66 dblp:conf/cloudcom/HwangSB14 fatcat:fnmnjmen2ngw5c5eushwyrs2jy