Analysis of Memory Management Policies for Heterogeneous Cloud Computing

Cloud computing has become a mainstream in providing computing resources as services. Recent cloud computing systems are composed of homogeneous hardware resources. Heterogeneous cloud computing can provide better performance and energy efficiency than homogeneous cloud computing. Therefore, heterogeneous cloud computing is expected to be used widely. In general, memory management policy has huge impact on the performance of heterogeneous computing systems. In this paper, we analyze three memory management policies for heterogeneous cloud computing systems. According to our experimental results, dynamic partition memory management policy provides better performance than static partition memory management policy by 4.65% on the average.