Design and Implementation of Key-Value Database for Ship Virtual Test Platform Based on Distributed System

Design and Implementation of Key-Value Database for Ship Virtual Test Platform Based on Distributed System

연구 분야: Databases

학회: International Conference of Pioneering Computer Scientists, Engineers and Educators

The virtual test platform is a vital tool for ship simulation and testing. However, the numerical pool ship virtual test platform is a complex system that comprises multiple heterogeneous data types, such as relational data, files, text, images, and animations. The analysis, evaluation, and decision-making processes heavily depend on data, which continue to increase in size and complexity. As a result, there is an increasing need for a distributed database system to manage these data. In this paper, we propose a Key-Value database based on a distributed system that can operate on any type of data, regardless of its size or type. This database architecture supports class column storage and load balancing and optimizes the efficiency of I/O bandwidth and CPU resource utilization. Moreover, it is specifically designed to handle the storage and access of large files. Additionally, we propose a multimodal data fusion mechanism that can connect various descriptions of the same substance, enabling the fusion and retrieval of heterogeneous multimodal data to facilitate data analysis. Our approach focuses on indexing and storage, and we compare our solution with Redis, MongoDB, and MySQL through experiments. We demonstrate the performance, scalability, and reliability of our proposed database system while also analysing its architecture's defects and providing optimization solutions and future research directions. In conclusion, our database system provides an efficient and reliable solution for the data management of the virtual test platform of numerical pool ships.