Enhancing Multi-Chain Data Sharing: The GAM Framework for Scalability and Efficiency

Abstract

This study will assess how effective the GAM is for solving scalability and efficiency issues in multi-chain data sharing. Using qualitative research methods, the five sub-questions answered deal with some of the shortcomings of models currently in place, potential improvements in terms of scalability and efficiency, hybrid storage options, and whether GAM really applies to the real world. Thematic analysis of blockchain transaction logs and user feedback provides the following key findings: GAM significantly enhances scalability via virtual group formation, optimizes efficiency through on-chain and off-chain processes, and demonstrates practical advantages with hybrid storage. This study concludes that GAM indeed offers robust solutions to problems in multi-chain data sharing, outperforming traditional models. However, it needs further testing across diverse blockchain environments and integration with emerging blockchain technologies for its broader adoption.