Abstract
This paper presents two solutions for merging diverse blockchain systems: Homogeneous Chain Consolidation (HCC) and Heterogeneous Multi-chain Integration Architecture (HMIA). As blockchain networks expand, integrating these disparate ledgers becomes crucial. HCC merges similar chains using common genesis blocks, enhancing efficiency by pooling validator resources. HMIA integrates different chains through meta-blocks, balancing compatibility and autonomy. We evaluate these approaches using consensus times, block sizes, and ledger growth. HCC improves throughput and efficiency, while HMIA prioritizes decentralized attributes. Use case-based evaluation shows that the proposed work can be seamlessly integrated with existing solutions, while the performance of implementation proves the low cost of resources in merged networks. Our frameworks offer insights into merging blockchains, addressing critical challenges in interconnected decentralized networks.
This work is supported by Beijing Natural Science Foundation (IS23056) and National Natural Science Foundation of China No. 62232002.
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Zhu, L., Bukhari, S., Sharif, K., Li, F., Fardous, S., Biswas, S. (2025). A Novel Merging Framework for Homogeneous and Heterogeneous Blockchain Systems. In: Cai, Z., Takabi, D., Guo, S., Zou, Y. (eds) Wireless Artificial Intelligent Computing Systems and Applications. WASA 2024. Lecture Notes in Computer Science, vol 14998. Springer, Cham. https://doi.org/10.1007/978-3-031-71467-2_25
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