CobbleDB: Modelling Levelled Storage by Composition

Key Points

• The research aims to develop a model for efficient levelled data storage in databases by using composition techniques.
• Developed a theoretical framework for levelled storage.
• Implemented algorithms for composition in data storage.
• Conducted performance comparisons with existing storage systems.
• Demonstrated significant improvements in storage efficiency.
• Showed faster data retrieval times compared to traditional models.
• Observed reduced resource usage in optimized scenarios.