Performance and energy efficiency of big data applications in cloud environments: A Hadoop case study
Coexisting VMs decrease the disk throughput and thus the application performance. Hadoop on VMs yields significant performance decrease with increasing data scales. Separation of data and compute layers increases the energy consumption. Power profiles are application specific and correlate with the map/reduce phases.
performance energy efficiency cloud computing hadoop mapreduce virtualization