cid 6beeb4f396fc18e196ed98f5cb9a340f40986764ede60961b3806d9314ddb8bc · original · via openalex
Title: Architecture Design Based on Big Data Storage Technology for Launch Vehicle Test Data Authors: Saisai Yuan; Lei Zhao; Junqing Qi; Yan Zhang Venue: International Symposium on Computer Applications and Information Systems (ISCAIS) Year: 2025 Canonical: doi:10.1109/iscait64916.2025.11010775 URL: https://doi.org/10.1109/iscait64916.2025.11010775 Collector: openalex OA: false ABSTRACT In recent years, the test data of launch vehicle shows the characteristics such as large data volumes, numerous files, complex data types and rapid growth rates. Traditional relational databases are inadequate to meet the requirements for the storage and application of massive data produced by launch vehicle test due to the relatively low query efficiency for large volume data, lack of data backup and poor scalability. A storage and application architecture based on big data technology including HDFS, HBase, SeaweedFS, Elasticsearch and Hive is designed for massive launch vehicle test data. Practical engineering application has demonstrated that this architecture shows good reliability and scalability, and can meet the storage and query demands of launch vehicle test data effectively.