Performance evaluation of embedded processor in Mapreduce cloud computing applications

Abstract

Current data centers consume huge amount of power to face theincreasing network traffic. Therefore energy efficient processors are requiredthat can process the cloud applications efficiently without consuming excessivepower. This paper presents a performance evaluation of the processors that aremainly used in high performance embedded systems in the domain of cloudcomputing. Several representative applications based on the widely used Map Reduce framework are mapped in the embedded processor and areevaluated in terms of performance and energy efficiency. The results shows thathigh performance embedded processors can achieve up to 7.8x better energyefficiency than the current general purpose processors in typical Map Reduce applications.