Optimasi Kinerja Sistem Operasi Berbasis Linux untuk Aplikasi IoT
DOI:
https://doi.org/10.61132/uranus.v2i4.485Keywords:
Linux, IoT, Information systems, PerformanceAbstract
Optimizing the performance of Linux-based operating systems for IoT applications in the trading sector is an important strategy in improving operational efficiency and competitiveness. This study explores Linux optimization techniques that can be applied to IoT systems to improve the speed, stability, and security of applications in the trading environment. This research method is carried out using descriptive qualitative through interviews, literature studies and observations. This study focuses on resource management and the implementation of advanced security features. Case studies on several real implementations show that by applying optimization techniques, such as process priority settings and routine updates, system performance can be significantly improved. The results of the study show that proper optimization can reduce system latency, increase data output, and strengthen security, which ultimately supports the success of IoT applications in the trading sector.
References
Allioui, Hanane, and Youssef Mourdi. 2023. "Exploring the Full Potentials of IoT for Better Financial Growth and Stability: A Comprehensive Survey" Sensors 23, no. 19: 8015. https://doi.org/10.3390/s23198015.
Antony, A. P., Leith, K., Jolley, C., Lu, J., & Sweeney, D. J. (2020). A review of practice and implementation of the internet of things (IoT) for smallholder agriculture. Sustainability, 12(9), 3750.
Boras, M., Balen, J., & Vdovjak, K. (2020, October). Performance evaluation of linux operating systems. In 2020 International Conference on Smart Systems and Technologies (SST) (pp. 115-120). IEEE.
Castañeda-Miranda, A., & Castaño-Meneses, V. M. (2020). Smart frost measurement for anti-disaster intelligent control in greenhouses via embedding IoT and hybrid AI methods. Measurement, 164, 108043.
Cui, L., Gao, M., Dai, J., & Mou, J. (2022). Improving supply chain collaboration through operational excellence approaches: an IoT perspective. Industrial Management & Data Systems, 122(3), 565-591.
Fireteanu, V. V. (2020, June). Agile methodology advantages when delivering internet of things projects. In 2020 12th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) (pp. 1-5). IEEE.
Javaid, M., A. Haleem, R. P. Singh, and R. Suman. 2021. “Significant Applications of big Data in Industry 4.0.” Journal of Industrial Integration and Management 06 (4): 429–447. doi:10.1142/S2424862221500135.
Nanwatkar, Ambika., Sahil Jawade., Sagar Hivarale., Vijay Gaikwad., Lalita Patle., Sneha Parbat., Nikita Paul., Prof. Diksha Khare. 2024. IOT BASED FOOD COLD STORAGE MONITORING AND CONTROLLING SYSTEM. International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), 13(3), 98-105.
Rayhana, R., Xiao, G., & Liu, Z. (2020). Internet of things empowered smart greenhouse farming. IEEE journal of radio frequency identification, 4(3), 195-211.
Ryder, N. L., Geiman, J. A., & Weckman, E. J. (2021). Hierarchical temporal memory continuous learning algorithms for fire state determination. Fire Technology, 57(6), 2905-2928.
Selay, A., Andigha, G. D., Alfarizi, A., Wahyudi, M. I. B., Falah, M. N., Khaira, M., & Encep, M. (2022). Internet Of Things. Karimah Tauhid, 1(6), 860-868.
Wang, K., Khoo, K. S., Leong, H. Y., Nagarajan, D., Chew, K. W., Ting, H. Y., ... & Show, P. L. (2022). How does the Internet of Things (IoT) help in microalgae biorefinery?. Biotechnology advances, 54, 107819.
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