METHOD FOR IMPROVING THE EFFICIENCY OF FUNCTIONING UNIX-LIKE SYSTEMS
DOI:
https://doi.org/10.35546/kntu2078-4481.2025.2.2.46Keywords:
method, automation, monitoring, reliability, serverAbstract
The article proposes a method for improving the efficiency of the functioning of UNIX-shaped operating systems, aimed at ensuring stable and reliable operation of the server infrastructure of the corporate network in conditions of high load and limited hardware resources. This approach involves the use of automation mechanisms for the main system resources that contribute to the continuous operation of server infrastructure, as well as the implementation of optimization measures based on methods of monitoring and diagnostics using built -in system utilities. The proposed method allows you to detect and eliminate potential failures in a timely manner, prevent excessive use of resources and ensure stable and continuous operation of the system in high load conditions. The work provides recommendations on the automation of the processes of monitoring and management of resources, as well as the possibilities of integration of the proposed method with centralised control systems that use early detection tools in real time. The use of intellectual approaches to administration helps to increase the overall productivity, stability and energy efficiency of server infrastructure. Particular attention is paid to optimization measures that reduce the load on hardware resources, reduce the delays in large data processing and improve the energy efficiency of server infrastructure. The efficiency of implementation of the proposed method has been verified by modelling the overload of a server system of the local computer network of the Department of Electronic Computing Machines of Kharkiv National University of Radio Electronics. The results have confirmed the expediency and efficiency of applying the proposed approach to ensure stable servers in modern corporate networks.
References
Peñalvo, F. J. G., Sharma, A., Chhabra, A., Singh, S. K., Kumar, S., Arya, V., & Gaurav, A. (2022). Mobile cloud computing and sustainable development: Opportunities, challenges, and future directions. International Journal of Cloud Applications and Computing (IJCAC), 12(1), 1–20.
Arogundade, O. R., & Palla, K. (2023). Virtualization revolution: Transforming cloud computing with scalability and agility.
Apriani, D., Afrijaldi, R., Auliya, N., & Darmawan, A. A. (2024). Operating System and Server Integration for Business Effectiveness. IAIC Transactions on Sustainable Digital Innovation (ITSDI), 5(2), 91–99. https://doi.org/10.34306/itsdi.v5i2.615
Шостак, А. Р., Ткачов, В. М. (2023). Питання оптимізації бізнес-процесів з використанням сучасних інформаційних технологій.
Duin, J., McKeown, S., & Abubakar, M. (2024, June). Exploring DTrace as an Incident Response Tool for Unix Systems. In The International Conference on Cybersecurity, Situational Awareness and Social Media (pp. 169–193). Singapore: Springer Nature Singapore.
Queiroz, R., Cruz, T., Mendes, J., Sousa, P., & Simões, P. (2023). Container-based virtualization for real-time industrial systems – a systematic review. ACM Computing Surveys, 56(3), 1–38.
Martin, E. (2022). Virtualization and containerization: a new concept for data center management to optimize resources distribution.
Katal, A., Dahiya, S. & Choudhury, T. *Energy efficiency in cloud computing data centers: a survey on software technologies*. Cluster Comput 26, 1845–1875 (2023). https://doi.org/10.1007/s10586–022–03713–0
Singh, N., Hamid, Y., Juneja, S. et al. *Load balancing and service discovery using Docker Swarm for microservice based big data applications*. J Cloud Comp 12, 4 (2023). https://doi.org/10.1186/s13677–022–00358–7
Papaioannou, C.; Dimara, A.; Papaioannou, A.; Tzitzios, I.; Anagnostopoulos, C.–N.; Krinidis, S. Hierarchical Resources Management System for Internet of Things–Enabled Smart Cities. Sensors 2025, 25, 616. https://doi.org/10.3390/s25030616
Gill, S. S., Xu, M., Ottaviani, C., Patros, P., Bahsoon, R., Shaghaghi, A.,. Uhlig, S. (2022). AI for next generation computing: Emerging trends and future directions. Internet of Things, 19, 100514.
Umer, M. (2023). Architecture and Design of the Linux Storage Stack. Packt Publishing Ltd.
Davis, J. (2022). Modern System Administration. O’Reilly Media, Inc.







