The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
Performance Evaluation of Blockchain Systems: A Systematic Survey
Open accessAbstract
Blockchain has been envisioned to be a disruptive technology with potential for applications in various industries. As more and more different blockchain platforms have emerged, it is essential to assess their performance in different use cases and scenarios. In this paper, we conduct a systematic survey on the blockchain performance evaluation by categorizing all reviewed solutions into two general categories, namely, empirical analysis and analytical modelling. In the empirical analysis, we comparatively review the current empirical blockchain evaluation methodologies, including benchmarking, monitoring, experimental analysis and simulation. In analytical modelling, we investigate the stochastic models applied to performance evaluation of mainstream blockchain consensus algorithms. Through contrasting, comparison and grouping different methods together, we extract important criteria that can be used for selecting the most suitable evaluation technique for optimizing the performance of blockchain systems based on their identified bottlenecks. Finally, we conclude the survey by presenting a list of possible directions for future research.
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A Survey on Blockchain Technology: Evolution, Architecture and Security
Bhutta, M. N. M., Khwaja, A. A., Nadeem, A., Ahmad, H. F., Khan, M. K., Hanif, M. A., Song, H., Alshamari, M., & Cao, Y. (2021) · IEEE Access · doi:10.1109/access.2021.3072849 · Cited by 522
A survey on the adoption of blockchain in IoT: challenges and solutions
Uddin, M. A., Stranieri, A., Gondal, I., & Balasubramanian, V. (2021) · Blockchain: Research and Applications · doi:10.1016/j.bcra.2021.100006 · Cited by 365
Blockchain-Based Multimedia Content Protection: Review and Open Challenges
Qureshi, A., & Megías Jiménez, D. (2020) · Applied Sciences · doi:10.3390/app11010001 · Cited by 91
Blockchain-Based Energy Applications: The DSO Perspective
Yagmur, A., Dedeturk, B. A., Soran, A., Jung, J., & Onen, A. (2021) · IEEE Access · doi:10.1109/access.2021.3122987 · Cited by 24
Metadata
- Authors
- Fan, C., Ghaemi, S., Khazaei, H., & Musilek, P.
- Venue
- IEEE Access
- Published
- 2020
- Volume
- 8
- Pages
- 126927-126950
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W3039840332
- Cited by
- 294
- References
- 95
- FWCI
- 36.49
- Type
- journal article
- Language
- en
- Open access
- gold
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