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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 the mainstream in current thermodynamic data management. Their primary goal is to establish accurate and efficient mathematical models that can solve specific thermodynamic problems. As internet technology continues to evolve, a browser/server (B/S) structure has become widely adopted for thermodynamic databases. In this model, part of the transaction logic runs on the client side, while the majority is handled by the server. However, due to the intensive numerical calculations involved, the server's CPU and memory resources are heavily consumed, leading to increased load and slower response times. If these computational challenges are not addressed effectively, the overall system performance will suffer significantly.
In addition, developing a thermodynamic database requires more than just converting mathematical models into code. Developers must also invest considerable effort in implementing, verifying, and optimizing the numerical methods used in those models. This increases both the development time and complexity. To address these issues, this paper proposes an architecture model based on the MCR framework, which separates the control of computational models from the numerical calculation process. This approach enhances the system’s computational efficiency, reduces development workload, and improves scalability.
The research focuses on two main aspects: improving the accuracy and efficiency of thermodynamic mathematical models and optimizing the architecture of Web-based thermodynamic databases. The latter aims to reduce development difficulty, shorten the development cycle, and enhance system performance and resource sharing. Commonly used multi-layer architectural models assign different tasks to various layers, making the system easier to use, develop, and maintain.
A three-tier architecture, as shown in Figure 1, separates the client, web server, and database server. While it simplifies deployment and maintenance, it places most of the workload on the web server, causing bottlenecks. To alleviate this, the n-tier architecture introduces additional layers, such as the business logic layer, presentation layer, and data access layer. This distributes the workload across multiple servers, improving system flexibility and performance.
However, even with the n-tier model, the business logic layer still faces two major challenges: implementing complex numerical calculations and improving their efficiency. To address these, the paper proposes an architecture based on the MCR (MATLAB Compiler Runtime) framework. This model uses MATLAB’s powerful numerical computing capabilities through the MCR runtime environment, allowing developers to integrate advanced calculations without writing them from scratch.
The MCR-based architecture, as illustrated in Figure 3, separates the numerical computation engine from the business logic layer. It leverages Service-Oriented Architecture (SOA) and Web Services to enable flexible integration and reuse. This design allows different systems to interact seamlessly, supports high-concurrency scenarios, and improves overall system performance.
Key advantages of this model include enhanced modularity, reduced server load, improved computational speed, and better scalability. It also enables the use of MATLAB’s parallel computing features, further boosting performance. By leveraging existing scientific computing tools, the development process becomes more efficient and less error-prone.
In conclusion, the MCR-based architecture provides a robust solution for Web thermodynamic databases, especially under heavy workloads and in heterogeneous environments. It simplifies numerical computation, improves system performance, and offers a scalable and maintainable platform for future developments.