Scalability of blockchain: a comprehensive review and future research direction
This comprehensive review paper examines the challenges faced by blockchain technology in terms of scalability and proposes potential solutions and future research directions. Scalability poses a significant hurdle for Bitcoin and Ethereum, manifesting as low throughput, extended transaction delays,...
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my.um.eprints.470462025-01-06T04:04:52Z http://eprints.um.edu.my/47046/ Scalability of blockchain: a comprehensive review and future research direction Rao, Iqra Sadia Kiah, M. L. Mat Hameed, M. Muzaffar Memon, Zain Anwer QA75 Electronic computers. Computer science This comprehensive review paper examines the challenges faced by blockchain technology in terms of scalability and proposes potential solutions and future research directions. Scalability poses a significant hurdle for Bitcoin and Ethereum, manifesting as low throughput, extended transaction delays, and excessive energy consumption, thereby compromising efficiency. The current state of blockchain scalability is analyzed, encompassing the limitations of existing solutions such as Sharding and off-chain scaling. Various proposed remedies, including layer 2 scaling solutions, consensus mechanisms, and alternative approaches, are investigated. The paper also explores the impact of scalability on diverse blockchain applications and identifies potential future research directions by integrating data science techniques with blockchain technology. Notably, nearly 110 primary research papers from reputable scientific databases like Scopus, IEEE Explore, Science Direct, and Web of Science were reviewed, demonstrating scalability in blockchain comprising several elements. Transaction throughput and network latency emerge as the most prominent concerns. Consequently, this review offers future research avenues to address scalability challenges by leveraging data science techniques like distributed computing and parallel processing to divide and process vast datasets across multiple machines. The synergy between data science and blockchain holds promise as an optimal solution. Overall, this up-to-date understanding of blockchain scalability is invaluable to researchers, practitioners, and policy makers engaged in this domain. Kluwer (now part of Springer) 2024-08 Article PeerReviewed Rao, Iqra Sadia and Kiah, M. L. Mat and Hameed, M. Muzaffar and Memon, Zain Anwer (2024) Scalability of blockchain: a comprehensive review and future research direction. Cluster Computing, 27 (5). pp. 5547-5570. ISSN 1386-7857, DOI https://doi.org/10.1007/s10586-023-04257-7 <https://doi.org/10.1007/s10586-023-04257-7>. https://doi.org/10.1007/s10586-023-04257-7 10.1007/s10586-023-04257-7 |
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QA75 Electronic computers. Computer science Rao, Iqra Sadia Kiah, M. L. Mat Hameed, M. Muzaffar Memon, Zain Anwer Scalability of blockchain: a comprehensive review and future research direction |
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This comprehensive review paper examines the challenges faced by blockchain technology in terms of scalability and proposes potential solutions and future research directions. Scalability poses a significant hurdle for Bitcoin and Ethereum, manifesting as low throughput, extended transaction delays, and excessive energy consumption, thereby compromising efficiency. The current state of blockchain scalability is analyzed, encompassing the limitations of existing solutions such as Sharding and off-chain scaling. Various proposed remedies, including layer 2 scaling solutions, consensus mechanisms, and alternative approaches, are investigated. The paper also explores the impact of scalability on diverse blockchain applications and identifies potential future research directions by integrating data science techniques with blockchain technology. Notably, nearly 110 primary research papers from reputable scientific databases like Scopus, IEEE Explore, Science Direct, and Web of Science were reviewed, demonstrating scalability in blockchain comprising several elements. Transaction throughput and network latency emerge as the most prominent concerns. Consequently, this review offers future research avenues to address scalability challenges by leveraging data science techniques like distributed computing and parallel processing to divide and process vast datasets across multiple machines. The synergy between data science and blockchain holds promise as an optimal solution. Overall, this up-to-date understanding of blockchain scalability is invaluable to researchers, practitioners, and policy makers engaged in this domain. |
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Article |
author |
Rao, Iqra Sadia Kiah, M. L. Mat Hameed, M. Muzaffar Memon, Zain Anwer |
author_facet |
Rao, Iqra Sadia Kiah, M. L. Mat Hameed, M. Muzaffar Memon, Zain Anwer |
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Rao, Iqra Sadia |
title |
Scalability of blockchain: a comprehensive review and future research direction |
title_short |
Scalability of blockchain: a comprehensive review and future research direction |
title_full |
Scalability of blockchain: a comprehensive review and future research direction |
title_fullStr |
Scalability of blockchain: a comprehensive review and future research direction |
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Scalability of blockchain: a comprehensive review and future research direction |
title_sort |
scalability of blockchain: a comprehensive review and future research direction |
publisher |
Kluwer (now part of Springer) |
publishDate |
2024 |
url |
http://eprints.um.edu.my/47046/ https://doi.org/10.1007/s10586-023-04257-7 |
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1821001880274206720 |
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13.22586 |