Split-Join: A Blockchain Framework for Improving Scalability and Performance
International Journal of Electronics and Communication Engineering |
© 2024 by SSRG - IJECE Journal |
Volume 11 Issue 3 |
Year of Publication : 2024 |
Authors : Vemula Harish, R. Sridevi, K.S. Sadasiva Rao |
How to Cite?
Vemula Harish, R. Sridevi, K.S. Sadasiva Rao, "Split-Join: A Blockchain Framework for Improving Scalability and Performance," SSRG International Journal of Electronics and Communication Engineering, vol. 11, no. 3, pp. 31-40, 2024. Crossref, https://doi.org/10.14445/23488549/IJECE-V11I3P104
Abstract:
Blockchain technology has proven its capability to secure data robustly and reliably, most enterprises are ready to move into blockchain due to its unique characteristics, and many researchers are contributing to improve the technology day by day, but still, there are performance and scalability issues need to be addressed in a better way, so that it can serve the globe by removing intermediaries and bringing the transparency and immutability. In this work, a split-join framework is proposed to improve the scalability and performance of the blockchain technology while maintaining the overall blockchain principles valid and allowing the parallel processing of the blocks efficiently through nonlinear principles, which offer efficient load balancing while processing the transactions. It aims to improve the performance and scalability aspects of blockchain. The proposed framework shows significant improvements in scalability and throughput; the number of parallel blocks processed increases with respect to split-chain length, resulting in higher throughput.
Keywords:
Blockchain, Scalability, Performance, Consensus, Split-join framework.
References:
[1] Satoshi Nakamoto, A Peer-to-Peer Electronic Cash System, Bitcoin.org, pp. 1-9, 2008. [Online]. Available: https://bitcoin.org/bitcoin.pdf
[2] N’guessan Patrice Akoguhi, and M. Bhavsingh, “Blockchain Technology in Real Estate: Applications, Challenges, and Future Prospects,” International Journal of Computer Engineering in Research Trends, vol. 10, no. 9, pp. 16-21, 2023.
[CrossRef] [Publisher Link]
[3] Thien Huynh-The et al., “Blockchain for the Metaverse: A Review,” Future Generation Computer Systems, vol. 143, pp. 401-419, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Zibin Zheng et al., “An Overview on Smart Contracts: Challenges, Advances and Platforms,” Future Generation Computer Systems, vol. 105, pp. 475-491, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Mohammed Adam Kunna Azrag et al., “A Novel Blockchain-Based Framework for Enhancing Supply Chain Management,” International Journal of Computer Engineering in Research Trends, vol. 10, no. 6, pp. 22-28, 2023.
[CrossRef] [Publisher Link]
[6] Cong T. Nguyen et al., “Proof-of-Stake Consensus Mechanisms for Future Blockchain Networks: Fundamentals, Applications and Opportunities,” IEEE Access, vol. 7, pp. 85727-85745, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Ayushi Singh et al., “A Survey of Blockchain Technology Security,” International Journal of Computer Engineering in Research Trends, vol. 6, no. 4, pp. 299-303, 2019.
[Publisher Link]
[8] Gavin Wood, “Ethereum: A Secure Decentralised Generalised Transaction Ledger,” Ethereum Project Yellow Paper, pp. 1-41, 2014. [Google Scholar] [Publisher Link]
[9] Anshika Bhalla, Top Cryptocurrencies with their High Transaction Speeds, Blockchain Council, 2024. [Online]. Available: https://www.blockchain-council.org/cryptocurrency/top-cryptocurrencies-with-their-high-transaction-speeds/
[10] Abdelatif Hafid, Abdelhakim Senhaji Hafid, and Mustapha Samih, “A Novel Methodology-Based Joint Hypergeometric Distribution to Analyze the Security of Sharded Blockchains,” IEEE Access, vol. 8, pp. 179389-179399, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Qin Wang et al., “SoK: Diving into DAG-Based Blockchain Systems,” arXiv, pp. 1-38, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Lang Li, Dongyan Huang, and Chengyao Zhang, “An Efficient Dag Blockchain Architecture for IoT,” IEEE Internet of Things Journal, vol. 10, no. 2, pp. 1286-1296, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Zicheng Wang, Bo Cui, and Wenhan Hou, “A Dynamic Load Balancing Scheme Based on Network Sharding in Private Ethereum Blockchain,” 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC), Los Alamitos, USA, pp. 362-367, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Canlin Li et al., “Achieving Scalability and Load Balance across Blockchain Shards for State Sharding,” 2022 41st International Symposium on Reliable Distributed Systems (SRDS), Vienna, Austria, pp. 284-294, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Zhongteng Cai et al., “Benzene: Scaling Blockchain with Cooperation-Based Sharding,” IEEE Transactions on Parallel and Distributed Systems, vol. 34, no. 2, pp. 639-654, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Hiroki Watanabe et al., “Enhancing Blockchain Traceability with DAG-Based Tokens,” 2019 IEEE International Conference on Blockchain (Blockchain), Atlanta, USA, pp. 220-227, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[17] D. Bhanu Sravanthi, and P. Venkata Krishna, “Digital Railway Ticketing Using Ethereum and Smart Contracts,” International Journal of Computer Engineering in Research Trends, vol. 10, no. 4, pp. 167-171, 2023.
[CrossRef] [Publisher Link]
[18] Xun Xiao, “Accelerating Tip Selection in Burst Message Arrivals for DAG-Based Blockchain Systems,” IEEE Transactions on Services Computing, pp. 1-13, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Jia Kan, Shangzhe Chen, and Xin Huang, “Improve Blockchain Performance Using Graph Data Structure and Parallel Mining,” 2018 1st IEEE International Conference on Hot Information-Centric Networking (HotICN), Shenzhen, China, pp. 173-178, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Huma Pervez et al., “A Comparative Analysis of DAG-Based Blockchain Architectures,” 2018 12th International Conference on Open Source Systems and Technologies (ICOSST), Lahore, Pakistan, pp. 27-34, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Omar Levano-Stella, Jonardo L. Lerios, and Mohamed Remaida, “A Blockchain-Based Approach for Securing IoT Devices in Smart Homes,” International Journal of Computer Engineering in Research Trends, vol. 10, no. 10, pp. 8-15, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Wellington Fernandes Silvano, and Roderval Marcelino, “Iota Tangle: A Cryptocurrency to Communicate Internet-of-Things Data,” Future Generation Computer Systems, vol. 112, pp. 307-319, 2020.
[CrossRef] [Google Scholar] [Publisher Link]