This study examines the conceptual models for optimizing infrastructure solutions for ISPs based on cloud technologies. The relevance of this research is justified by the rapid technological advancements that serve as the foundation for infrastructure solutions in internet service providers (ISPs). Their optimization requires a systematic approach that considers load balancing, distributed data storage, security issues, and regulatory aspects. However, there are contradictions in the scientific literature regarding optimization methods. The goal of this article is to systematize the understanding of conceptual models for optimizing ISP solutions, taking into account modern cloud technologies and their evolution. The conducted analysis identified key research directions and existing gaps in studying the interrelationship between technical, economic, and legal factors. As a result, an author's perspective was formulated on the prospects of integrating cloud solutions into ISP infrastructure, considering scalability efficiency, fault tolerance, and information security. This includes deep integration of analytical tools, synergy with quantum computing technologies, and standardization unification. The presented materials will be useful for researchers in the field of digitalization, network technology specialists, internet service providers, and developers of relevant platforms.

load balancing, data securit, infrastructure, conceptual model, cloud technologies, optimization, internet service provider, distributed computing

Andhyka A. A floating IP implementation based-on load balancing in cloud computing / A. Andhyka, F. Badri // International Journal of Engineering and Technology (UAE). – 2020. – Vol. 9. – No. 1. – Pp. 258-261.

Bae S.P. A study on the information strategy plan (ISP) establishment model of small and medium enterprises / S.P. Bae // KBM Journal. – 2021. – Vol. 5. – No. 1. – Pp. 25-46.

Cloud Computing Industry Statistics That Provide Insight // URL: https://www.webfx.com/industries/tech/cloud-computing/statistics/ (date of request: 03/05/2025).

Malami Idina M. The concept of Big Data and solutions of cloud computing / M. Malami Idina // International Journal of Advanced Engineering and Management Research. – 2023. – Vol. 08. – No. 2. – Pp. 99-106.

Mokryn O. Optimal cache placement with local sharing: an ISP guide to the benefits of the sharing economy / O. Mokryn, A. Akavia, Y. Kanizo // Computer Networks. – 2020. – Vol. 171. – Pp. 107-153.

Purushoththaman Dr.M.E. Analysis on cloud computing architectures / Dr.M.E. Purushoththaman, B. Bhavani // Ymer. – 2022. – Vol. 21. – No. 1. – Pp. 561-576.

Ren H. Liability of ISP under recommendation algorithm / H. Ren // US-China Law Review. – 2024. – Vol. 21. – No. 3.

Soares M. Cloud Computing Stats 2025 // URL: https://www.nextwork.org/blog/cloud-computing-stats-2025 (date of request: 02/27/2025).

Varshney M. A survey on cloud computing and security challenges to cloud computing / M. Varshney, S. Raturi, J. Verma // International Journal of Computer Applications. – 2020. – Vol. 175. – No. 29. – Pp. 29-33.

Zhang Ge. Investigating the impact of cloud computing vendor on the adoption of cloud computing / Ge. Zhang, Lu. Liu, H. Guo // Mobile Information Systems. – 2021. – Vol. 2021.