A Model-Driven Approach to Hybrid Cloud Integration for Legacy System Modernization in Enterprise Environments

Background: Legacy systems remain critical to enterprise operations but often suffer from rigidity, scalability limitations, and high maintenance costs. The rise of hybrid cloud environments offers new opportunities for modernization while preserving core business logic. However, integrating legacy systems with hybrid cloud platforms introduces architectural and operational complexity. Enterprises require systematic approaches to reduce integration risk and ensure consistency. Traditional ad-hoc migration methods lack formalization. Therefore, structured modernization approaches are essential.

Aim: This study aims to propose a model-driven approach for integrating legacy systems into hybrid cloud environments. The objective is to enhance interoperability, scalability, and maintainability while minimizing disruption to existing enterprise operations. The approach seeks to abstract system complexity using formal models. It also aims to provide a reusable and technology-independent integration framework. By leveraging model-driven engineering, the solution targets reduced development effort. Ultimately, the aim is to support sustainable enterprise modernization.

Method: The proposed method employs Model-Driven Engineering (MDE) to define platform-independent and platform-specific models. Legacy system components are analyzed and transformed into standardized models. These models guide automated or semi-automated integration into hybrid cloud architectures. The approach defines transformation rules, integration layers, and deployment workflows. A conceptual architecture and workflow are designed to support implementation. Case-based evaluation is used to assess feasibility.

Results: The model-driven approach demonstrates improved consistency and traceability during system integration. Results indicate reduced integration complexity and enhanced adaptability to cloud changes. Enterprises benefit from clearer separation between business logic and infrastructure concerns. The approach supports gradual migration rather than full system replacement. Performance and maintainability are improved through modular integration. The framework shows strong potential for reuse across domains.

Conclusion: The study concludes that a model-driven approach is effective for hybrid cloud integration of legacy systems. It provides a structured and scalable pathway for enterprise modernization. The approach mitigates common risks associated with cloud migration. By leveraging abstraction and automation, enterprises can achieve smoother transitions. The framework supports long-term system evolution. Future work can extend automation and validation mechanisms.