@article{M72B9A744,
title = "A Platform Architecture Design for Multi-Sensor Massive Data Operation",
journal = "The Journal of Korean Institute of Communications and Information Sciences",
year = "2024",
issn = "1226-4717",
doi = "10.7840/kics.2024.49.8.1196",
author = "Shunyuel Ryu, Wan-yong Park, Sun-yong Choi, Dokeun Kang",
keywords = "multi-senser, massive data, Platform Architecture",
abstract = "A platform was designed to process large amounts of data transmitted from multi-sensors, and at this time, an optimal architecture for rapid data processing and load balancing was constructed. A 1GB to 10GB network environment was configured for all sections of data transmission, and the main path section connecting the external network and the inside was composed of 100GB backbone network equipment to minimize the load in the internal and external link sections when processing large amounts of data. The storage of the integrated storage device for all data input/output and storage is configured as an automatic archiving meta-store through the HSM (Hierarchical Storage Management) configuration using SSD, SAS, and NL-SAS based on the Xcellis file system to enable rapid data processing. For this system design, it was shown that the platform design for large-capacity data was designed to meet the requirements through simulation using M&S(Modeling and Simulation) for internal and external network sections, file transfer experiments through composition of mounting costs, and large-capacity file transmission and reception experiments of file storage systems."
}