The DOI matches its Crossref record; 146 of the 146 references it cites were found in a registry or an index.
A systematic review of blockchain scalability: Issues, solutions, analysis and future research
Abstract
Abstract Blockchain is an inspiring emerging technology that takes much attention from various researchers and companies. The technology offers various benefits such as data security, autonomy, immutability, transparency, and auditability. Hence, blockchain is getting large adoptions for various applications besides cryptocurrencies. Despite these benefits, scalability is a big challenge to blockchain impeding its mainstream adoption. This paper gives a systematic review of blockchain scalability. We follow a systematic process to investigate the research trend on blockchain scalability and review its state of the art. We review the various proposed solutions and methods for blockchain scalability. We also review the performance analysis of blockchain systems. We assess the proposed scalability solutions, deduce future research directions on the blockchain scalability, and finally discuss the blockchain adoption. We hope this paper will serve as a guide for learning and research on blockchain scalability.
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Cites
Boyd, S., Ghosh, A., Prabhakar, B., & Shah, D. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2006.874516 · Cited by 2,439
Algorand: Scaling Byzantine Agreements for Cryptocurrencies
Gilad, Y., Hemo, R., Micali, S., Vlachos, G., & Zeldovich, N. (2017) · Proceedings of the 26th Symposium on Operating Systems Principles · doi:10.1145/3132747.3132757 · Cited by 1,499
Ouroboros: A Provably Secure Proof-of-Stake Blockchain Protocol
Kiayias, A., Russell, A., David, B., & Oliynykov, R. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-63688-7_12 · Cited by 1,459
A Secure Sharding Protocol For Open Blockchains
Luu, L., Narayanan, V., Zheng, C., Baweja, K., Gilbert, S., & Saxena, P. (2016) · Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/2976749.2978389 · Cited by 1,428
2014 IEEE Global Communications Conference
(2014) · doi:10.1109/globecom18177.2014 · Cited by 1,405
OmniLedger: A Secure, Scale-Out, Decentralized Ledger via Sharding
Kokoris-Kogias, E., Jovanovic, P., Gasser, L., Gailly, N., Syta, E., & Ford, B. (2018) · 2018 IEEE Symposium on Security and Privacy (SP) · doi:10.1109/sp.2018.000-5 · Cited by 1,253
The 26th USENIX Security Symposium 2017
Αλεξόπουλος, Ν., Kiayias, A., Zacharias, T., & Talviste, R. (2017) · USENIX Security Symposium · Cited by 1,168
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security
(2018) · doi:10.1145/3243734 · Cited by 1,165
RapidChain: Scaling Blockchain via Full Sharding
Zamani, M., Movahedi, M., & Raykova, M. (2018) · Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/3243734.3243853 · Cited by 1,121
A survey of blockchain from the perspectives of applications, challenges, and opportunities
Monrat, A. A., Schelen, O., & Andersson, K. (2019) · IEEE Access · doi:10.1109/access.2019.2936094 · Cited by 1,077
Cited by
Emerging Trends in Blockchain Technology and Applications: A Review and Outlook
Gad, A. G., Mosa, D. T., Abualigah, L., & Abohany, A. A. (2022) · Journal of King Saud University - Computer and Information Sciences · doi:10.1016/j.jksuci.2022.03.007 · Cited by 283
Navigating blockchain’s twin challenges: scalability and regulatory compliance
Mohammed Abdul, S. S. (2024) · Blockchains · doi:10.3390/blockchains2030013 · Cited by 54
RO-SVD: a reconfigurable hardware copyright protection framework for AIGC applications
Ran, Z., Abdelgawad, M. A. A., Zhang, Z., Cheung, R. C. C., & Yan, H. (2024) · 2024 IEEE 35th International Conference on Application-specific Systems, Architectures and Processors (ASAP) · doi:10.1109/asap61560.2024.00037 · Cited by 5
Self-citation
Metadata
- Authors
- Sanka, A. I., & Cheung, R. C. C.
- Venue
- Journal of Network and Computer Applications
- Publisher
- Elsevier BV
- Published
- 2021-12
- Volume
- 195
- Pages
- 103232
- ISSN
- 1084-8045 (ISSN-L)
- OpenAlex
- W3202990235
- Cited by
- 283
- References
- 146
- FWCI
- 7.97
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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