DESIGNING A METADATA-DRIVEN GENERIC SEARCH FRAMEWORK FOR SCALABLE INSURANCE PLATFORMS
In this research we design a scalable insurance platform search framework based on metadata.The solution increases discovery efficiency and system scalability with the help of metadata decoupling, dynamic UI generation and predictive caching.Using simulations, these achieve a great latency, precision, and throughput while providing a robust modernization path for modern insurance data infrastructure.
Authors
- Anand Sharma (ORCID: https://orcid.org/0000-0002-9995-6226)
Publication Details
- Journal
- INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY
- Published
- 2025-05-08
- DOI
- https://doi.org/10.34218/ijcet_16_03_005
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00