TY - JOUR
T1 - Evaluation of various workloads in Filebench suitable for phase-change memory
AU - Lee, Seungyong
AU - Lee, Hyokeun
AU - Lee, Hyuk Jae
AU - Kim, Hyun
N1 - Publisher Copyright:
© 2021 Institute of Electronics and Information Engineers. All rights reserved.
PY - 2021/4
Y1 - 2021/4
N2 - Phase-Change Memory (PCM) is known as the next generation of memory thanks to its outstanding properties, such as fast speed, non-volatility, scalability, and low power consumption. Based on these characteristics, PCM can be used in larger expanded memory or faster storage compared to HDD or NAND flash memory. Therefore, various companies are trying to deploy PCM-based memory products. However, studies on deciding the target system of PCM are still insufficient, which is an obstacle to the commercialization of PCM. In this paper, a file system benchmark, Filebench, is evaluated with various operating options to find the most appropriate workload for PCM as storage. An experiment was conducted in a virtual system by mounting PCM with a PCM-aware file system. The results demonstrate that the PCM-based system performs up to 500 times better than traditional storage if executing workloads with a significant amount of write operations and synchronization operations. A number of applications were tested on various configurations of systems, and workload characteristics suitable for the PCM-based system are presented.
AB - Phase-Change Memory (PCM) is known as the next generation of memory thanks to its outstanding properties, such as fast speed, non-volatility, scalability, and low power consumption. Based on these characteristics, PCM can be used in larger expanded memory or faster storage compared to HDD or NAND flash memory. Therefore, various companies are trying to deploy PCM-based memory products. However, studies on deciding the target system of PCM are still insufficient, which is an obstacle to the commercialization of PCM. In this paper, a file system benchmark, Filebench, is evaluated with various operating options to find the most appropriate workload for PCM as storage. An experiment was conducted in a virtual system by mounting PCM with a PCM-aware file system. The results demonstrate that the PCM-based system performs up to 500 times better than traditional storage if executing workloads with a significant amount of write operations and synchronization operations. A number of applications were tested on various configurations of systems, and workload characteristics suitable for the PCM-based system are presented.
KW - File system
KW - Non-volatile memory
KW - Phase-change RAM
KW - Storage
UR - http://www.scopus.com/inward/record.url?scp=85113301696&partnerID=8YFLogxK
U2 - 10.5573/IEIESPC.2021.10.2.160
DO - 10.5573/IEIESPC.2021.10.2.160
M3 - Article
AN - SCOPUS:85113301696
SN - 2287-5255
VL - 10
SP - 160
EP - 166
JO - IEIE Transactions on Smart Processing and Computing
JF - IEIE Transactions on Smart Processing and Computing
IS - 2
ER -