TOWARDS SEAMLEES MULTI-CLOUD INTEGRATION: STRATEGIC APPROACH

Abstract

Background. Cloud computing has transformed the IT landscape, offering scalable and cost-efficient solutions for data storage and access. The emergence of multi-cloud environments as a strategic approach to leverage various cloud service providers' strengths has introduced new challenges and opportunities. Existing multi-cloud frameworks and approaches lack versatility in addressing key concepts such as data security, scalability, cost optimization, and resource management. Objective. Designing and developing an ontological model and optimization function to enhance data management practices and decision-making in multi-cloud environments. Methods. The research employs an ontological approach to formalize domain concepts, relationships, and properties in multi-cloud environments. Additionally, an optimization function is proposed for selecting the best public cloud provider based on specific features. The study focuses on designing distributed storage techniques, optimizing data access latency, and developing security frameworks for multicloud settings. Results. The proposed ontological model successfully formalizes the domain's concepts, relationships, and properties in multi-cloud environments. The optimization function demonstrates effectiveness in selecting the most suitable public cloud provider based on the proposed features, enhancing data management practices automation and decision-making processes. Conclusions. This work addresses the critical challenge of improving data management and decision-making in multi-cloud environments through the development of an ontological model and optimization function. The research contributes to enhancing data security, scalability, cost optimization, and resource management in multi-cloud settings. Future work should focus on further refining the ontological model and optimization function, as well as exploring their application in various industry sectors.