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Running IO500 Benchmark and Applying Optimal Parameters on Lustre-based Storage Systems
Hyosil Kim, Byoungjun Seo, Sejin Hwang, Juyeun Han
http://doi.org/10.5626/JOK.2024.51.6.483
In this paper, a comparative study is conducted by executing IO500 benchmarks with various tuning factors in the Lustre-based storage environment, where Lustre is a distributed parallel file system. Contributions of this paper are as follows: 1) enhancing user understanding of IO500 benchmarks and Lustre file system, and 2) establishing a large-scale Lustre environment to analyze factors that can enhance IO500 performance from three perspectives, and 3) presenting results of applied enhancements through experimentation. Experiments were conducted concerning Data-on-MDT (DoM), MPI process count (NP), and MPI CPU affinity parameters. We demonstrated that the performance was improved when DoM was configured, an appropriate number of MPI processes was set, and the '--bind-to core-overload-allowed' option was employed for CPU affinity.
Link Performance Analysis of LoRa for Real-time Information Gathering in Maritime Conditions
Jaeho Shin, Junyeong Lim, Donghyun Kim, Jongdeok Kim
http://doi.org/10.5626/JOK.2018.45.3.303
LoRaWAN(Long Range Wide Area Network) is a standard for low-power, long-range, low-speed communication as announced in the LoRa Alliance. LoRaWAN addresses the physical layer and medium access control layer and the technology used in the physical layer is referred to as LoRa. LoRa can be used for remote monitoring and remote control in maritime conditions. However, unlike land, marine environment is not only difficult to construct an infrastructure for service provision, but also difficult to analyze LoRa performance in maritime. In this study, we construct an infrastructure using cloud platform and analyze LoRa link performance in maritime conditions.
Performance Analysis of LoRa(Long Range) according to the Distances in Indoor and Outdoor Spaces
Junyeong Lim, Jaemin Lee, Donghyun Kim, Jongdeok Kim
http://doi.org/10.5626/JOK.2017.44.7.733
LPWAN(Low Power Wide Area Network) technology is M2M (Machine to Machine) networking technology for the Internet of Things. The technology is designed to support low-power, long-distance and low-speed communications that are typical of LoRaWAN(Long Range Wide Area Network). To exchange inter-object information using a LoRaWAN, the link performances for various environments must be known. however, active performance analysis research that is based on an empirical environment is nonexistent. Therefore, this paper empirically evaluates the performance of the LoRa (Long Range) link, a physical communication technology of the LoRaWAN for various variables that may affect the link quality in indoor and outdoor environments. To achieve this, a physical performance monitoring system was designed and implemented. A communication experiment environment was subsequently constructed based on the indoor and outdoor conditions. The SNR(Signal to Noise Ratio), RSSI(Received Signal Strength Indication), and the PDR(Packet Delivery Ratio) were evaluated.
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