@article{ART003096291},
author={Hyun-Seob Lee},
title={An Efficient Dual Queue Strategy for Improving Storage System Response Times},
journal={Journal of Internet of Things and Convergence},
issn={2466-0078},
year={2024},
volume={10},
number={3},
pages={19-24}
TY - JOUR
AU - Hyun-Seob Lee
TI - An Efficient Dual Queue Strategy for Improving Storage System Response Times
JO - Journal of Internet of Things and Convergence
PY - 2024
VL - 10
IS - 3
PB - The Korea Internet of Things Society
SP - 19
EP - 24
SN - 2466-0078
AB - Recent advances in large-scale data processing technologies such as big data, cloud computing, and artificial intelligence have increased the demand for high-performance storage devices in data centers and enterprise environments. In particular, the fast data response speed of storage devices is a key factor that determines the overall system performance. Solid state drives (SSDs) based on the Non-Volatile Memory Express (NVMe) interface are gaining traction, but new bottlenecks are emerging in the process of handling large data input and output requests from multiple hosts simultaneously. SSDs typically process host requests by sequentially stacking them in an internal queue.
When long transfer length requests are processed first, shorter requests wait longer, increasing the average response time. To solve this problem, data transfer timeout and data partitioning methods have been proposed, but they do not provide a fundamental solution. In this paper, we propose a dual queue based scheduling scheme (DQBS), which manages the data transfer order based on the request order in one queue and the transfer length in the other queue. Then, the request time and transmission length are comprehensively considered to determine the efficient data transmission order. This enables the balanced processing of long and short requests, thus reducing the overall average response time. The simulation results show that the proposed method outperforms the existing sequential processing method. This study presents a scheduling technique that maximizes data transfer efficiency in a high-performance SSD environment, which is expected to contribute to the development of next-generation high-performance storage systems
KW - Nand Flash Memory;Storage;Response Time;Scheduling;Priority Queue
DO -
UR -
ER -
Hyun-Seob Lee. (2024). An Efficient Dual Queue Strategy for Improving Storage System Response Times. Journal of Internet of Things and Convergence, 10(3), 19-24.
Hyun-Seob Lee. 2024, "An Efficient Dual Queue Strategy for Improving Storage System Response Times", Journal of Internet of Things and Convergence, vol.10, no.3 pp.19-24.
Hyun-Seob Lee "An Efficient Dual Queue Strategy for Improving Storage System Response Times" Journal of Internet of Things and Convergence 10.3 pp.19-24 (2024) : 19.
Hyun-Seob Lee. An Efficient Dual Queue Strategy for Improving Storage System Response Times. 2024; 10(3), 19-24.
Hyun-Seob Lee. "An Efficient Dual Queue Strategy for Improving Storage System Response Times" Journal of Internet of Things and Convergence 10, no.3 (2024) : 19-24.
Hyun-Seob Lee. An Efficient Dual Queue Strategy for Improving Storage System Response Times. Journal of Internet of Things and Convergence, 10(3), 19-24.
Hyun-Seob Lee. An Efficient Dual Queue Strategy for Improving Storage System Response Times. Journal of Internet of Things and Convergence. 2024; 10(3) 19-24.
Hyun-Seob Lee. An Efficient Dual Queue Strategy for Improving Storage System Response Times. 2024; 10(3), 19-24.
Hyun-Seob Lee. "An Efficient Dual Queue Strategy for Improving Storage System Response Times" Journal of Internet of Things and Convergence 10, no.3 (2024) : 19-24.
