home energy storage,household power storage,home solar power,all in one system Enershare Tech Company Limited , https://www.enersharepower.com
Analysis of Web Thermodynamic Database Architecture Model and Its Advantages of MCR Framework
With the rapid advancement of computer and network technologies, web-based thermodynamic databases have become a dominant force in modern thermodynamics data management. Their primary goal is to develop accurate and efficient mathematical models that can solve complex thermodynamic problems effectively. As internet technology continues to evolve, browser/server (B/S) architecture has become widely adopted for thermodynamic databases. In this model, some transaction logic is handled on the client side, while most of it runs on the server. However, due to the extensive numerical computations involved, the server's CPU and memory resources are heavily utilized, leading to increased system load and slower response times. If these computational challenges aren't addressed, the overall performance of the system will be significantly impacted.
In addition, developers must not only translate thermodynamic mathematical models into code but also spend considerable effort on implementing, verifying, and optimizing the numerical methods used. This increases both the development time and complexity of the database system. To tackle these issues, this paper proposes a web thermodynamic database architecture based on the MCR framework. By separating the control of the computational model from the numerical calculation process, this approach greatly enhances the system’s computational efficiency and simplifies the implementation of numerical methods.
Research on improving web thermodynamic database systems has focused on two main areas: developing accurate and efficient mathematical models for thermodynamic calculations and optimizing the system architecture to reduce development complexity and improve performance. A common approach is the use of layered architectures, which divide tasks among different layers, making the system easier to maintain, reuse, and scale. The three-tier architecture, for example, separates the user interface, business logic, and data storage, but often leads to a bottleneck at the web server due to heavy workload.
To address this, an n-tier architecture was introduced, distributing tasks across multiple servers. This improves scalability and reduces the burden on individual components. However, even with this model, the business logic layer still faces challenges in efficiently handling numerical computations.
The MCR-based architecture proposed in this paper offers a solution by leveraging MATLAB Compiler Runtime (MCR), a powerful scientific computing platform. By integrating MCR into the system, numerical calculations can be offloaded to dedicated servers, reducing the load on application servers and improving overall performance. This approach allows developers to focus on high-level logic rather than low-level computation, while also benefiting from MATLAB’s advanced numerical tools.
The architecture features a service-oriented design, where the numerical calculation engine operates independently as a web service. This enables seamless integration with various systems and supports dynamic load balancing through server clusters. Additionally, it simplifies the development process and enhances flexibility, allowing for easy scaling and optimization.
In conclusion, the MCR-based architecture provides a robust and scalable solution for web thermodynamic databases, addressing key performance bottlenecks and enabling efficient, reusable numerical computation. It supports high-concurrency environments and heterogeneous systems, offering a practical way to enhance the functionality and performance of thermodynamic database applications.