Optimized Indexing Method in a Hybrid Image Storage Model for Efficient Storage and Access in Big Data Environments
Iryna Kyrychenko, Гліб Терещенко, Kirill Smelyakov · 2024
In today's big data landscape., efficient and scalable image storage is essential. This paper introduces an Optimized Indexing Method within a Hybrid Image Storage Model to address these demands. We examine the mathematical foundations of traditional and hybrid indexing algorithms., emphasizing scalability and performance. Comparative analysis and benchmarks highlight the method's efficiency and resilience across diverse datasets., underscoring its potential to transform image storage in big data environments and inspire future advancements.