Optimizing Transfer Efficiency in Multi-Cloud Storage Systems with Edge and Fog Computing

Multi-cloud environments have emerged as a promising solution for computing, offering scalability, fault tolerance, and vendor flexibility. However, efficient data transfer between multiple cloud providers and data owners is crucial for ensuring optimal performance and timely execution of workloads. This paper explores the challenges associated with data transfer rates in multi-cloud storage systems and discusses various optimization strategies to improve data transfer efficiency. It highlights the limitations of single-cloud storage systems and the unresolved issues related to data transfer in conventional models. To address these challenges, a comprehensive architecture is proposed, integrating multiple cloud storage services and leveraging fog and edge computing paradigms. The study aims to optimize the data transfer efficiency in multi-cloud storage systems.