Non-Volatile Random Access Memory (NVRAM) is anticipated to be utilized as the performance accelerator of future cloud storage systems. This article aims to analyze how large performance improvement can be expected if we use NVRAM as the performance accelerator of legacy storage subsystems. Speci ically, we try to ind the best employment of NVRAM with respect to storage performances. To do so, we quantify the hot storage area and replace it with NVRAM to obtain the best performances. Our analysis shows that the source of hot storage traf ic is not limited to any single particular storage area, but it is different for application types executed. Speci ically, journaling accesses dominate in database applications, while swapping accesses dominate in memory-intensive applications. In some applications such as video streaming, ile accesses dominate. Based on these indings, we suggest the usage of NVRAM to maximize the performance improvement of cloud storage systems.