Design and implementation of a scalable microservice-based cloud computing service for stochastic fluid flow modeling
Abdiramanov Z.
March 2026Elsevier B.V.
Array
2026#29
This paper presents the design and performance evaluation of a scalable microservice-based cloud computing framework for distributed stochastic fluid flow simulations. The system integrates Docker containerization, NGINX load balancing, and Apache Kafka for asynchronous task coordination and efficient workload distribution across computational nodes. The backend combines PHP and Julia for orchestration and computation, with PostgreSQL managing task and result data. Benchmark experiments demonstrate near-linear scalability and stable performance under varying loads, confirming the systems suitability for high-performance scientific computing. The proposed framework advances parallel and distributed computing by introducing a modular, reproducible architecture for executing complex stochastic models in cloud environments.
Cloud computing framework , Event-driven communication , Load balancing , Microservice architecture , Performance analysis , Scalability evaluation , Stochastic simulations
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Department of Mathematics and Mathematical Modelling, Institute of Mathematics, Physics and Informatics, Abai Kazakh National Pedagogical University, Almaty, 050000, Kazakhstan
Institute of Information and Computational Technologies SC MES, Almaty, 050010, Kazakhstan
Department of Mathematics and Mathematical Modelling
Institute of Information and Computational Technologies SC MES
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026