Cloud Computing Platforms in Research and Industry: A Systematic Review of Cloud and Hybrid Solutions

Cloud computing has revolutionized research and industrial implementation platforms by offering scalable, cost-effective and flexible computing solutions. This systematic review provides a comprehensive analysis of cloud computing platforms, including Amazon Web Services (AWS), Google Cloud Platform (GCP), Microsoft Azure, and BlackAnt. The principles of their architectures, deployment models, performance characteristics, and cost-effectiveness are examined for different computing workloads. The study employs a multivocal literature review methodology, analyzing 32 high-quality empirical studies from 284 initial records. Performance evaluation reveals Azure’s superior CPU performance through AMD EPYC optimization (up to 22% improvement), while AWS excels in memory-intensive applications (25.6 GB/s bandwidth) and GPU utilization. Cost analysis shows significant variations, with potential savings of 60-85% through serverless architectures for intermittent workloads. The paper explores emerging trends such as serverless computing and hybrid cloud adoption, providing evidence-based platform selection recommendations. This overview serves as a reference for organizations and researchers who wish to optimize their computational workflows using cloud computing platforms.