@Article{pakinsight,
AUTHOR = {},
TITLE = {Improving Cloud System Performances by Adopting Nvram-Based Storage Systems},
JOURNAL = {International Journal of Natural Sciences Research},
VOLUME = {4},
YEAR = {2016},
NUMBER = {6},
PAGES = {100-106},
URL = {http://www.pakinsight.com/archive/63/06-2016/6},
ISSN = {2311-4746},
ABSTRACT = {NVRAM is being considered as an additional memory/storage component of 
future cloud computing systems. This paper investigates how much 
performance improvement can be obtained if we add NVRAM as the 
memory/storage media of cloud systems. As NVRAM is put on DDR slots, it 
is byte-accessible and hence can be used as a memory medium like DRAM. 
It can also be utilized as swap or journal devices if we use it as a 
block I/O device. We first consider NVRAM as a storage cache, and then, 
we measure the performance of systems that additionally use NVRAM as 
memory, swap, and journal devices. We use two workloads, I/O and memory 
intensive workloads. Our experiments show that using NVRAM as a journal 
device performs the best in I/O-intensive workload as it performs 
journaling I/O on NVRAM instead of slow storage. Using NVRAM as memory 
or swap devices does not show good results in I/O-intensive workload. 
However, in case of memory-intensive workload, NVRAM memory 
significantly improves the performance, and NVRAM swap also gains a 
certain level of improvement. We expect that our experiments will be 
helpful in the design of NVRAM-based cloud systems for memory or I/O 
intensive workload situations.},
DOI = {10.18488/journal.63/2016.4.6/63.6.100.106}
}