Scientific article

Optimization of cloud services performance: methods and their efficiency

Dvirna, O.A.

Набока,С.В.

Naboka, S.V.

Optimizing the performance of cloud services

The object of the study is modern cloud services, including IaaS, PaaS, and SaaS models provided by platforms such as AWS, Google Cloud, Azure, and local Ukrainian providers, with a focus on performance under variable workloads. Particular attention is paid to the Ukrainian market, where hybrid cloud solutions are combined with local infrastructure to overcome limitations in internet bandwidth and
regulatory barriers. The research covers key aspects such as dynamic resource allocation, load balancing, automatic scaling, and AI integration for demand forecasting. The aim is to systematize optimization methods, identify challenges related to scalability, security, and energy efficiency, and develop recommendations for implementation in business (fintech, e-commerce) and the public sector (e-governance, critical infrastructure), taking into account Ukraine’s specific context.

балансування навантаження

машинне навчання

мультикритеріальна оптимізація

енергоефективність

dynamic resource allocation

load balancing

auto-scaling

machine learning

multi-criteria optimization