Energy Efficiency of Arm Architectures for Cloud Computing Applications

This thesis evaluates how the energy efficiency of the ARMv7 architecture based processors Cortex-A9 MPCpre and Cortex-A8 compare in applications such as a SIPProxy and a web server compared to Intel Xeon processors. The focus is on comparing the energy efficiency between the two architectures rather than just the performance. As the processors used in servers today have more computational power than the Cortex-A9 MPCore, several of these slower but more energy efficient processors are needed. Depending on the application, benchmarks indicate energy efficiency of 3-11 times greater for the ARM Cortex-A9 in comparison to the Intel Xeon. The topics of interconnects between processors and overhead caused by using an increasing number of processors, are left for later research.