The design of robust, scalable, and web-accessible engineering platforms is essential for modern computational workflows. This work addresses these needs by presenting a robust, API-first system that enables remote execution of MATLAB scripts and Simulink models within a cloud-based digital engineering framework. By exposing MATLAB functionalities through RESTful APIs and structured JSON exchanges, the system supports function parsing, simulation control, and result extraction with high precision. A React-based user interface enhances accessibility and user control, while backend modules ensure secure execution, cloud storage integration, and compatibility with diverse applications. The architecture effectively overcomes interoperability challenges between MATLAB and other tools, enabling seamless inclusion in digital threads. Performance evaluations confirm minimal overhead and real-time responsiveness, reinforcing the platform’s suitability for scalable deployment in advanced intelligent systems and applications.

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Design of a Web-Based Platform to Leverage MATLAB Functionality for Digital Engineering

  • Omar Al-Refai,
  • Rula Sufian,
  • Khaled Abo Rubeieh,
  • Najem Aldeen M. Abu Rmaileh,
  • Osama M. F. Abu-Sharkh,
  • Sriram Krishnan

摘要

The design of robust, scalable, and web-accessible engineering platforms is essential for modern computational workflows. This work addresses these needs by presenting a robust, API-first system that enables remote execution of MATLAB scripts and Simulink models within a cloud-based digital engineering framework. By exposing MATLAB functionalities through RESTful APIs and structured JSON exchanges, the system supports function parsing, simulation control, and result extraction with high precision. A React-based user interface enhances accessibility and user control, while backend modules ensure secure execution, cloud storage integration, and compatibility with diverse applications. The architecture effectively overcomes interoperability challenges between MATLAB and other tools, enabling seamless inclusion in digital threads. Performance evaluations confirm minimal overhead and real-time responsiveness, reinforcing the platform’s suitability for scalable deployment in advanced intelligent systems and applications.